| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 382220000 | Calculating weighted similarity or difference (e.g., dont-care areas) | 20 |
| 20090185747 | SYSTEMS AND METHODS FOR TEXTURE SYNTHESIS FOR VIDEO CODING WITH SIDE INFORMATION - A method for texture synthesis for video coding with side information may be implemented by a decoder device. The method may include receiving seed texture at high fidelity. The method may also include receiving remaining portions of synthesized regions at low fidelity. The method may also include receiving marking of regions to synthesize. The method may further include synthesizing the marked regions based on the high-fidelity seed texture and the low-fidelity portions of the synthesized regions. | 07-23-2009 |
| 20100098342 | DETECTING GEOGRAPHIC-AREA CHANGE USING HIGH-RESOLUTION, REMOTELY SENSED IMAGERY - A method, system, and medium are provided for detecting change in a geographic area. One embodiment includes receiving a set of remotely sensed imagery that depicts the geographic area, automatically identifying changes in physical features of the geographic area by comparing, without user intervention, the set of remotely sensed imagery to a dataset of previously stored remotely sensed imagery that also depicts the geographic area, and deriving a change-quality measurement associated with the set of remotely sensed imagery, wherein the change-quality measurement quantifies a suitability of comparison of the set of remotely sensed imagery to the previously stored remotely sensed imagery. | 04-22-2010 |
| 20100119162 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus includes: an image pyramid forming section configured to form an image pyramid by hierarchically creating layered image data including differently scaled images from inputted image data; a position calculating section configured to determine an in-image-pyramid position as a height position in the image pyramid to which template image data having an image portion of a target object at a fixed scale corresponds; an upper-layer-side likelihood calculating section configured to determine a likelihood for a target object by matching between upper-side layer image data directly above the in-image-pyramid position, and a state prediction; a lower-layer-side likelihood calculating section configured to determine a likelihood for a target object by matching between lower-side layer image data directly below the in-image-pyramid position, and a state prediction; and a true likelihood calculating section configured to determine a true likelihood from the likelihoods determined by the upper-layer-side and lower-layer-side likelihood calculating sections. | 05-13-2010 |
| 20110176737 | PERSONALIZED TAG RANKING - Personalized tag ranking of images, including identifying within a reference image collection any images that are similar to an input image, identifying within a source image collection any images that have associated tags that are similar to a set of input tags associated with the input image, identifying among the images identified in the reference image collection any images that are similar to the images identified in the source image collection, and calculating a weight for each of a plurality of tag pairs, where each of the tags in each of the tag pairs is associated with a different subset of the images in the reference image collection identified as being similar to the images identified in the source image collection, and ranking the input tags of the input image in accordance with a predefined ranking function as applied to the tag pair weights. | 07-21-2011 |
| 20110206283 | SYSTEM AND METHOD FOR IMPROVED IMAGE ANALYSIS THROUGH GAZE DATA FEEDBACK - The image analysis system includes a processor and memory and displays an image to a first user. The image analysis system tracks gaze of the first user and collects initial gaze data for the first user. The initial gaze data includes a plurality of gaze points. The image analysis system identifies one or more ignored regions of the image based on a distribution of the gaze data within the image; and displays at least a first subset of the image. The first subset of the image is selected so as to include a respective ignored region of the one or more ignored regions and the first subset of the image is displayed in a manner that draws attention to the respective ignored region. In some embodiments, the ignored region is visually emphasized within the image. In some embodiments, only the first subset of the image is displayed. | 08-25-2011 |
| 20130163886 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus and method for processing an input image by comparing a stored background image with the input image to obtain a difference, collating a change in the difference and time of the change with conditions for the occurrence of a periodic event and information as to the time of occurrence of the periodic event, which are previously stored in a storage unit, to determine whether the change in state of the input image is the periodic or a non-periodic movement of an object, and selecting, according to a result of the determination, any one of operations according to the periodic or the non-periodic movement of an object. | 06-27-2013 |
| 20140079323 | CLASSIFICATION APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A classification apparatus includes: a spectrogram generation unit that generates a spectrogram of a time variation signal of a classification object by processing the time variation signal of the classification object obtained by a sensor; a two-dimensional Fourier transform calculation unit that calculates a two-dimensional Fourier transform of the generated spectrogram; a similarity calculation unit that calculates a similarity between an template image and an image of the obtained two-dimensional Fourier transform, for each template image corresponding to each phenomenon stored in the template image memorizing unit; and a determination unit that determines whether the time variation signal of the classification object conforms to any of one or more phenomena, on the basis of the calculated similarity. | 03-20-2014 |
| 20140086496 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND PROGRAM - An image processing device includes an evaluation unit which acquires a search pattern which is an appearance pattern of a person in a scene of a video content containing the scene, where a similar scene is to be searched, and a search target pattern which is an appearance pattern of a person in a video content which is to be a search target of the similar scene, calculates a degree of similarity between the search pattern and the search target pattern, and determines the similar scene on a basis of the calculated degree of similarity. | 03-27-2014 |
| 20140161361 | METHOD FOR DETERMINING APPLICABILTY OF A PROCESSING DEVICE, A PROCESSING PATH AND A PROCESSING PATTERN - The present disclosure provides a method for determining an applicability of a specific processing device having a specific processing pattern. The method includes the following steps: locating a similarity index between the specific processing pattern and a reference processing pattern of a reference processing device; and confirming the applicability of the specific processing device if the similarity index is no less than a threshold. Besides, a method for assessing an applicability of a new processing pattern for a specific processing device, and a method for determining an applicability of an alternative processing path for a reference processing path are also provided. | 06-12-2014 |
| 20140169687 | IMAGE SEARCH SYSTEMS AND METHODS - Image search systems and methods are provided. The image search system includes a storage unit, a display unit, and a processing unit. The storage unit includes a plurality of image, each having a characteristic value. The processing unit receives a specifying of a target image, analyzes at least one content feature of the target image, obtains at least one capturing feature of the target image, and calculates a characteristic value for the target image according to the at least one content feature and the at least one capturing feature of the target image. The processing unit compares the characteristic value of the target image with the characteristic value of the respective image in the storage unit, thus to generate a similarity score for the respective image in the storage unit. The processing unit displays the images in sequence via the display unit according to the corresponding similarity scores. | 06-19-2014 |
| 20140177970 | IMAGE SUBSET DETERMINATION AND PROCESSING - Aspects of a device, system, and method for subset determination and processing are described. In certain aspects, a process for subset determination includes determining a reference for correlation with at least one image and identifying a set of images for comparison with the reference. The reference for correlation may be specified by a user based on a desire to determine a subset of certain images from a larger group. The process further includes determining a subset of the set of images based on a correlation between the reference and the set of images. According to various features, a subset of images that not only includes certain images but also excludes certain images may be determined quickly. | 06-26-2014 |
| 20140193086 | IMAGE PROCESSING METHODS AND APPARATUSES - Provided are image processing method and apparatus. The method includes selecting one of a plurality of images matched in structure as reference image, and select another of the images as subject image; for a subject pixel in the subject image, determining a pixel corresponding to the subject pixel in the reference image; calculating similarity values of at least part of pixels in the reference image with respect to the pixel corresponding to the subject pixel; establishing weight coefficients based on the similarity values, and weighted averaging the subject pixel in the subject image to obtain a processed pixel value. With the above solutions, it is possible to use structure information of a higher-quality image in processing another image, and thus improve quality of the other image. | 07-10-2014 |
| 20140247998 | SYSTEMS AND METHODS FOR PROCESSING MOBILE IMAGES TO IDENTIFY AND EXTRACT CONTENT FROM FORMS - Systems and methods for matching a received image with a template image are disclosed herein. Such systems and methods can advantageously enable an image captured by a mobile device (such as a smartphone or digital camera) to be correctly identified by the processing application. In some embodiments, the received image is first resized in one or both dimensions in order to match or approximately match the dimensions of a given template. The received image and template image can then be superimposed. Next, an optimal translative transformation value can be calculated in order to generate a confidence level for the current possible match. After confidence levels for each template are generated and recorded, the template with the highest confidence level can be selected as the best match for the received image. | 09-04-2014 |
| 20140355892 | IMAGE PROCESSING METHOD AND APPARATUS - An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing. | 12-04-2014 |
| 20150049955 | METHOD OF MATCHING IMAGE FEATURES WITH REFERENCE FEATURES AND INTEGRATED CIRCUIT THEREFOR - The invention is related to a method of matching image features with reference features, comprising the steps of providing a current image captured by a capturing device, providing reference features (r), wherein each of the reference features comprises at least one reference feature descriptor (d(r)), determining current features (c) in the current image and associating with each of the current features at least one respective current feature descriptor (d(c)), and matching the current features with at least some of the reference features by determining a respective similarity measure (D(c, r)) between each respective current feature descriptor (d(c)) and each respective reference feature descriptor (d(r)). According to the invention, the determination of the similarity measure is performed on an integrated circuit by hardwired logic or configurable logic which processes logical functions for determining the similarity measure. The invention is also concerned with an integrated circuit for matching of image features with reference features. | 02-19-2015 |
| 20150139557 | FAST DENSE PATCH SEARCH AND QUANTIZATION - In techniques for fast dense patch search and quantization, partition center patches are determined for partitions of example image patches. Patch groups of an image each include similar image patches and a reference image patch that represents a respective patch group. A partition center patch of the partitions is determined as a nearest neighbor to the reference image patch of a patch group. The partition center patch can be determined based on a single-nearest neighbor (1-NN) distance determination, and the determined partition center patch is allocated as the nearest neighbor to the similar image patches in the patch group. Alternatively, a group of nearby partition center patches are determined as the nearest neighbors to the reference image patch based on a k-nearest neighbor (k-NN) distance determination, and the nearest neighbor to each of the similar image patches in the patch group is determined from the nearby partition center patches. | 05-21-2015 |
| 20150139558 | SEARCHING DEVICE, SEARCHING METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, a searching device includes an acquiring unit, a receiver, a calculator, and a determining unit. The acquiring unit is configured to acquire a first image. The receiver is configured to receive selection of a first area contained in the first image. The calculator is configured to calculate, for each of a plurality of second images to be searched, a first similarity with the first area and a second similarity with a second area that has been received by the receiver before the first area. The determining unit is configured to determine a third image or third images to be presented from among the second images on the basis of a result of a logical operation of the first similarity and the second similarity for each of the second images. | 05-21-2015 |
| 20150356377 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM COMPUTER-READABLY STORING PROGRAM THEREFOR - An image processing process includes classifying an Object-related information indicating a feature of an object into an attribute, generating feature information of a partial area of an image, calculating a degree of similarity between the object and the partial area based on the object-related information and the feature information, estimating, based on the degree of similarity, the object for each of the partial areas, calculating, for a combination of the estimated objects, a total of the degrees of similarity between the object classified into the attribute and the partial area for each of the attributes, selecting, based on the total, at least one of the combinations of the estimated objects, and storing the object included in the selected combination in association with the image. | 12-10-2015 |
| 20160140421 | METHOD OF IDENTIFYING RELEVANT AREAS IN DIGITAL IMAGES, METHOD OF ENCODING DIGITAL IMAGES, AND ENCODER SYSTEM - A method of identifying relevant areas in digital images is provided. The method comprises receiving information representative of pixels in a first digital image, and calculating a spatial statistical measure of said information for groups of neighboring pixels in said first image to form a group value for each group of pixels. Further, the method comprises calculating differences between group values, and comparing said differences to a predetermined threshold value. If said difference is equal to or above said threshold value, said group is identified as relevant, and if said difference is below said threshold value, said group is identified as not relevant. A method of encoding digital images based on the identification of relevant and non-relevant areas is also provided, as well as a digital encoder system. | 05-19-2016 |
| 20160253806 | Self-Localization Device and Movable Body | 09-01-2016 |
| 20090185747 | SYSTEMS AND METHODS FOR TEXTURE SYNTHESIS FOR VIDEO CODING WITH SIDE INFORMATION - A method for texture synthesis for video coding with side information may be implemented by a decoder device. The method may include receiving seed texture at high fidelity. The method may also include receiving remaining portions of synthesized regions at low fidelity. The method may also include receiving marking of regions to synthesize. The method may further include synthesizing the marked regions based on the high-fidelity seed texture and the low-fidelity portions of the synthesized regions. | 07-23-2009 |
| 20100098342 | DETECTING GEOGRAPHIC-AREA CHANGE USING HIGH-RESOLUTION, REMOTELY SENSED IMAGERY - A method, system, and medium are provided for detecting change in a geographic area. One embodiment includes receiving a set of remotely sensed imagery that depicts the geographic area, automatically identifying changes in physical features of the geographic area by comparing, without user intervention, the set of remotely sensed imagery to a dataset of previously stored remotely sensed imagery that also depicts the geographic area, and deriving a change-quality measurement associated with the set of remotely sensed imagery, wherein the change-quality measurement quantifies a suitability of comparison of the set of remotely sensed imagery to the previously stored remotely sensed imagery. | 04-22-2010 |
| 20100119162 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus includes: an image pyramid forming section configured to form an image pyramid by hierarchically creating layered image data including differently scaled images from inputted image data; a position calculating section configured to determine an in-image-pyramid position as a height position in the image pyramid to which template image data having an image portion of a target object at a fixed scale corresponds; an upper-layer-side likelihood calculating section configured to determine a likelihood for a target object by matching between upper-side layer image data directly above the in-image-pyramid position, and a state prediction; a lower-layer-side likelihood calculating section configured to determine a likelihood for a target object by matching between lower-side layer image data directly below the in-image-pyramid position, and a state prediction; and a true likelihood calculating section configured to determine a true likelihood from the likelihoods determined by the upper-layer-side and lower-layer-side likelihood calculating sections. | 05-13-2010 |
| 20110176737 | PERSONALIZED TAG RANKING - Personalized tag ranking of images, including identifying within a reference image collection any images that are similar to an input image, identifying within a source image collection any images that have associated tags that are similar to a set of input tags associated with the input image, identifying among the images identified in the reference image collection any images that are similar to the images identified in the source image collection, and calculating a weight for each of a plurality of tag pairs, where each of the tags in each of the tag pairs is associated with a different subset of the images in the reference image collection identified as being similar to the images identified in the source image collection, and ranking the input tags of the input image in accordance with a predefined ranking function as applied to the tag pair weights. | 07-21-2011 |
| 20110206283 | SYSTEM AND METHOD FOR IMPROVED IMAGE ANALYSIS THROUGH GAZE DATA FEEDBACK - The image analysis system includes a processor and memory and displays an image to a first user. The image analysis system tracks gaze of the first user and collects initial gaze data for the first user. The initial gaze data includes a plurality of gaze points. The image analysis system identifies one or more ignored regions of the image based on a distribution of the gaze data within the image; and displays at least a first subset of the image. The first subset of the image is selected so as to include a respective ignored region of the one or more ignored regions and the first subset of the image is displayed in a manner that draws attention to the respective ignored region. In some embodiments, the ignored region is visually emphasized within the image. In some embodiments, only the first subset of the image is displayed. | 08-25-2011 |
| 20130163886 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus and method for processing an input image by comparing a stored background image with the input image to obtain a difference, collating a change in the difference and time of the change with conditions for the occurrence of a periodic event and information as to the time of occurrence of the periodic event, which are previously stored in a storage unit, to determine whether the change in state of the input image is the periodic or a non-periodic movement of an object, and selecting, according to a result of the determination, any one of operations according to the periodic or the non-periodic movement of an object. | 06-27-2013 |
| 20140079323 | CLASSIFICATION APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A classification apparatus includes: a spectrogram generation unit that generates a spectrogram of a time variation signal of a classification object by processing the time variation signal of the classification object obtained by a sensor; a two-dimensional Fourier transform calculation unit that calculates a two-dimensional Fourier transform of the generated spectrogram; a similarity calculation unit that calculates a similarity between an template image and an image of the obtained two-dimensional Fourier transform, for each template image corresponding to each phenomenon stored in the template image memorizing unit; and a determination unit that determines whether the time variation signal of the classification object conforms to any of one or more phenomena, on the basis of the calculated similarity. | 03-20-2014 |
| 20140086496 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND PROGRAM - An image processing device includes an evaluation unit which acquires a search pattern which is an appearance pattern of a person in a scene of a video content containing the scene, where a similar scene is to be searched, and a search target pattern which is an appearance pattern of a person in a video content which is to be a search target of the similar scene, calculates a degree of similarity between the search pattern and the search target pattern, and determines the similar scene on a basis of the calculated degree of similarity. | 03-27-2014 |
| 20140161361 | METHOD FOR DETERMINING APPLICABILTY OF A PROCESSING DEVICE, A PROCESSING PATH AND A PROCESSING PATTERN - The present disclosure provides a method for determining an applicability of a specific processing device having a specific processing pattern. The method includes the following steps: locating a similarity index between the specific processing pattern and a reference processing pattern of a reference processing device; and confirming the applicability of the specific processing device if the similarity index is no less than a threshold. Besides, a method for assessing an applicability of a new processing pattern for a specific processing device, and a method for determining an applicability of an alternative processing path for a reference processing path are also provided. | 06-12-2014 |
| 20140169687 | IMAGE SEARCH SYSTEMS AND METHODS - Image search systems and methods are provided. The image search system includes a storage unit, a display unit, and a processing unit. The storage unit includes a plurality of image, each having a characteristic value. The processing unit receives a specifying of a target image, analyzes at least one content feature of the target image, obtains at least one capturing feature of the target image, and calculates a characteristic value for the target image according to the at least one content feature and the at least one capturing feature of the target image. The processing unit compares the characteristic value of the target image with the characteristic value of the respective image in the storage unit, thus to generate a similarity score for the respective image in the storage unit. The processing unit displays the images in sequence via the display unit according to the corresponding similarity scores. | 06-19-2014 |
| 20140177970 | IMAGE SUBSET DETERMINATION AND PROCESSING - Aspects of a device, system, and method for subset determination and processing are described. In certain aspects, a process for subset determination includes determining a reference for correlation with at least one image and identifying a set of images for comparison with the reference. The reference for correlation may be specified by a user based on a desire to determine a subset of certain images from a larger group. The process further includes determining a subset of the set of images based on a correlation between the reference and the set of images. According to various features, a subset of images that not only includes certain images but also excludes certain images may be determined quickly. | 06-26-2014 |
| 20140193086 | IMAGE PROCESSING METHODS AND APPARATUSES - Provided are image processing method and apparatus. The method includes selecting one of a plurality of images matched in structure as reference image, and select another of the images as subject image; for a subject pixel in the subject image, determining a pixel corresponding to the subject pixel in the reference image; calculating similarity values of at least part of pixels in the reference image with respect to the pixel corresponding to the subject pixel; establishing weight coefficients based on the similarity values, and weighted averaging the subject pixel in the subject image to obtain a processed pixel value. With the above solutions, it is possible to use structure information of a higher-quality image in processing another image, and thus improve quality of the other image. | 07-10-2014 |
| 20140247998 | SYSTEMS AND METHODS FOR PROCESSING MOBILE IMAGES TO IDENTIFY AND EXTRACT CONTENT FROM FORMS - Systems and methods for matching a received image with a template image are disclosed herein. Such systems and methods can advantageously enable an image captured by a mobile device (such as a smartphone or digital camera) to be correctly identified by the processing application. In some embodiments, the received image is first resized in one or both dimensions in order to match or approximately match the dimensions of a given template. The received image and template image can then be superimposed. Next, an optimal translative transformation value can be calculated in order to generate a confidence level for the current possible match. After confidence levels for each template are generated and recorded, the template with the highest confidence level can be selected as the best match for the received image. | 09-04-2014 |
| 20140355892 | IMAGE PROCESSING METHOD AND APPARATUS - An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing. | 12-04-2014 |
| 20150049955 | METHOD OF MATCHING IMAGE FEATURES WITH REFERENCE FEATURES AND INTEGRATED CIRCUIT THEREFOR - The invention is related to a method of matching image features with reference features, comprising the steps of providing a current image captured by a capturing device, providing reference features (r), wherein each of the reference features comprises at least one reference feature descriptor (d(r)), determining current features (c) in the current image and associating with each of the current features at least one respective current feature descriptor (d(c)), and matching the current features with at least some of the reference features by determining a respective similarity measure (D(c, r)) between each respective current feature descriptor (d(c)) and each respective reference feature descriptor (d(r)). According to the invention, the determination of the similarity measure is performed on an integrated circuit by hardwired logic or configurable logic which processes logical functions for determining the similarity measure. The invention is also concerned with an integrated circuit for matching of image features with reference features. | 02-19-2015 |
| 20150139557 | FAST DENSE PATCH SEARCH AND QUANTIZATION - In techniques for fast dense patch search and quantization, partition center patches are determined for partitions of example image patches. Patch groups of an image each include similar image patches and a reference image patch that represents a respective patch group. A partition center patch of the partitions is determined as a nearest neighbor to the reference image patch of a patch group. The partition center patch can be determined based on a single-nearest neighbor (1-NN) distance determination, and the determined partition center patch is allocated as the nearest neighbor to the similar image patches in the patch group. Alternatively, a group of nearby partition center patches are determined as the nearest neighbors to the reference image patch based on a k-nearest neighbor (k-NN) distance determination, and the nearest neighbor to each of the similar image patches in the patch group is determined from the nearby partition center patches. | 05-21-2015 |
| 20150139558 | SEARCHING DEVICE, SEARCHING METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, a searching device includes an acquiring unit, a receiver, a calculator, and a determining unit. The acquiring unit is configured to acquire a first image. The receiver is configured to receive selection of a first area contained in the first image. The calculator is configured to calculate, for each of a plurality of second images to be searched, a first similarity with the first area and a second similarity with a second area that has been received by the receiver before the first area. The determining unit is configured to determine a third image or third images to be presented from among the second images on the basis of a result of a logical operation of the first similarity and the second similarity for each of the second images. | 05-21-2015 |
| 20150356377 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM COMPUTER-READABLY STORING PROGRAM THEREFOR - An image processing process includes classifying an Object-related information indicating a feature of an object into an attribute, generating feature information of a partial area of an image, calculating a degree of similarity between the object and the partial area based on the object-related information and the feature information, estimating, based on the degree of similarity, the object for each of the partial areas, calculating, for a combination of the estimated objects, a total of the degrees of similarity between the object classified into the attribute and the partial area for each of the attributes, selecting, based on the total, at least one of the combinations of the estimated objects, and storing the object included in the selected combination in association with the image. | 12-10-2015 |
| 20160140421 | METHOD OF IDENTIFYING RELEVANT AREAS IN DIGITAL IMAGES, METHOD OF ENCODING DIGITAL IMAGES, AND ENCODER SYSTEM - A method of identifying relevant areas in digital images is provided. The method comprises receiving information representative of pixels in a first digital image, and calculating a spatial statistical measure of said information for groups of neighboring pixels in said first image to form a group value for each group of pixels. Further, the method comprises calculating differences between group values, and comparing said differences to a predetermined threshold value. If said difference is equal to or above said threshold value, said group is identified as relevant, and if said difference is below said threshold value, said group is identified as not relevant. A method of encoding digital images based on the identification of relevant and non-relevant areas is also provided, as well as a digital encoder system. | 05-19-2016 |
| 20160253806 | Self-Localization Device and Movable Body | 09-01-2016 |
