Patent application number | Description | Published |
20100081946 | METHOD AND APPARATUS FOR NON-INVASIVE CUFF-LESS BLOOD PRESSURE ESTIMATION USING PULSE ARRIVAL TIME AND HEART RATE WITH ADAPTIVE CALIBRATION - Certain aspects of the present disclosure relate to a method for estimating a blood pressure using both a pulse arrival time (PAT) and an instantaneous heart rate (HR). The PAT can be measured as the delay between QRS peaks in an electrocardiogram (ECG) signal and corresponding points in a photoplethysmogram (PPG) waveform. Parameters of the estimation model can be determined through an initial training. Then, the model parameters can be recalibrated in constant intervals using the recursive least square (RLS) approach combined with a smooth bias fixing. The proposed estimation algorithm is applied on a multi-parameter intelligent monitoring for intensive care (MIMIC) database, and the results are compared with estimation methods that use PAT only or HR only. The proposed estimation algorithm meets, on average, the Association for the Advancement of Medical Instrumentation (AAMI) requirements and outperforms other methods from the prior art. It is also shown in the present disclosure that the proposed estimation algorithm is robust to unknown skew between the ECG and PPG signals. | 04-01-2010 |
20110066381 | METHOD AND APPARATUS FOR ARTIFACTS MITIGATION WITH MULTIPLE WIRELESS SENSORS - Certain aspects of the present disclosure relate to a technique for mitigating artifacts of biophysical signals in a body area network. Information from multiple sensors (including motion information of the body) can be employed in mitigating the artifacts. The biophysical signals in the body area network can be compressively sensed. | 03-17-2011 |
20120005248 | METHOD AND APPARATUS FOR PROCESSING AND RECONSTRUCTING DATA - Certain aspects of the present disclosure relate to a method for quantizing signals and reconstructing signals, and/or encoding or decoding data for storage or transmission. Points of a signal may be determined as local extrema or points where an absolute rise of the signal is greater than a threshold. The tread and value of the points may be quantized, and certain of the quantizations may be discarded before the quantizations are transmitted. After being received, the signal may be reconstructed from the quantizations using an iterative process. | 01-05-2012 |
20120011119 | OBJECT RECOGNITION SYSTEM WITH DATABASE PRUNING AND QUERYING - A database for object recognition is generated by performing at least one of intra-object pruning and inter-object pruning, as well as keypoint clustering and selection. Intra-object pruning removes similar and redundant keypoints within an object and different views of the same object, and may be used to generate and associate a significance value, such as a weight, with respect to remaining keypoint descriptors. Inter-object pruning retains the most informative set of descriptors across different objects, by characterizing the discriminability of the keypoint descriptors for all of the objects and removing keypoint descriptors with a discriminability that is less than a threshold. Additionally, a mobile platform may download a geographically relevant portion of the database and perform object recognition by extracting features from the query image and using determined confidence levels for each query feature during outlier removal. | 01-12-2012 |
20120011142 | FEEDBACK TO IMPROVE OBJECT RECOGNITION - A database for object recognition is modified based on feedback information received from a mobile platform. The feedback information includes information with respect to an image of an object captured by the mobile platform. The feedback information, for example, may include the image, features extracted from the image, a confidence level for the features, posterior probabilities of the features belonging to an object in the database, GPS information, and heading orientation information. The feedback information may be used to improve the database pruning, add content to the database or update the database compression efficiency. The information feedback to the server by the mobile platform may be determined based on a search of a portion of the database performed by the mobile platform using features extracted from a captured query image. | 01-12-2012 |
20120130645 | METHOD AND APPARATUS FOR MEASURING BODY IMPEDANCE BASED ON BASEBAND SIGNAL DETECTION - Certain aspects of the present disclosure relate to techniques for measuring body impedance based on baseband signal detection in analog domain. Proposed methods and apparatus are able to measure an impedance of human body based on sub-Nyquist sampling of signals. The proposed techniques can be particularly beneficial for reducing overall sensor power when an actuation signal generates electrical signals corresponding to vital signs in humans. | 05-24-2012 |
Patent application number | Description | Published |
20120027290 | OBJECT RECOGNITION USING INCREMENTAL FEATURE EXTRACTION - In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images. | 02-02-2012 |
20120243732 | Adaptable Framework for Cloud Assisted Augmented Reality - A mobile platform efficiently processes sensor data, including image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires sensor data, such as image data, and determines whether there is a trigger event to transmit the sensor data to the server. The trigger event may be a change in the sensor data relative to previously acquired sensor data, e.g., a scene change in an image. When a change is present, the sensor data may be transmitted to the server for processing. The server processes the sensor data and returns information related to the sensor data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model. | 09-27-2012 |
20120263082 | METHOD AND APPARATUS FOR DISTRIBUTED PROCESSING FOR WIRELESS SENSORS - Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications. | 10-18-2012 |
20130194448 | RULES FOR MERGING BLOCKS OF CONNECTED COMPONENTS IN NATURAL IMAGES - An electronic device and method may capture an image of an environment, followed by identification of blocks of connected components in the image. A test for overlap of spans may be made, between a span of a block selected (e.g. for having a line of pixels) and another span of an adjacent block located above, or below, or to the left, or to the right of the selected block and when satisfied, these two blocks are merged. Blocks may additionally be tested, e.g., for relative heights of the two blocks, and/or aspect ratio of either or both blocks, etc. Classification of a merged block as text or non-text may use attributes of the merged block, such as location of a horizontal pixel line, number of vertical pixel lines, and number of black-white transitions and number of white-black transitions in a subset of rows located below the horizontal pixel line. | 08-01-2013 |
20130195315 | IDENTIFYING REGIONS OF TEXT TO MERGE IN A NATURAL IMAGE OR VIDEO FRAME - In several aspects of described embodiments, an electronic device and method use a camera to capture an image or a frame of video of an environment outside the electronic device followed by identification of blocks of regions in the image. Each block that contains a region is checked, as to whether a test for presence of a line of pixels is met. When the test is met for a block, that block is identified as pixel-line-present. Pixel-line-present blocks are used to identify blocks that are adjacent. One or more adjacent block(s) may be merged with a pixel-line-present block when one or more rules are found to be satisfied, resulting in a merged block. The merged block is then subject to the above-described test, to verify presence of a line of pixels therein, and when the test is satisfied the merged block is processed normally, e.g. classified as text or non-text. | 08-01-2013 |
20130195360 | LOWER MODIFIER DETECTION AND EXTRACTION FROM DEVANAGARI TEXT IMAGES TO IMPROVE OCR PERFORMANCE - Systems, apparatus and methods for extracting lower modifiers from a word image, before performing optical character recognition (OCR), based on a plurality of tests comprising a first test, a second test and a third test are presented. The method obtains the word image and performing a plurality of tests (e.g., a first test, a second test and a third test). The first test determines whether a vertical line spanning the height of the word image exists. The second test determines whether a jump of a number of components in the lower portion of the word image exists. The third test determines sparseness in a lower portion of the word image. The plurality of tests may run sequentially and/or in parallel. Results from the plurality of tests are used to decide whether a lower modifier exists by comparing and accumulating test results from the plurality of tests. | 08-01-2013 |
20130195376 | DETECTING AND CORRECTING SKEW IN REGIONS OF TEXT IN NATURAL IMAGES - An electronic device and method use a camera to capture an image of an environment outside the electronic device followed by identification of regions, based on pixel intensities in the image. At least one processor automatically computes multiple values of an indicator of skew in multiple regions in the image respectively. The multiple values are specific to the multiple regions, and thereafter used to determine whether unacceptable skew is present across the regions, e.g. globally in the image as a whole. When skew is determined to be unacceptable, user input is requested to correct the skew, e.g. by displaying on a screen, a symbol and receiving user input (e.g. by rotating an area of touch or rotating the electronic device) to align a direction of the symbol with a direction of the image, and then the process may repeat (e.g. capture image, detect skew, and if necessary request user input). | 08-01-2013 |
20140022406 | AUTOMATIC CORRECTION OF SKEW IN NATURAL IMAGES AND VIDEO - An electronic device and method use a camera to capture an image of an environment outside followed by identification of regions therein. A subset of the regions is selected, based on attributes of the regions, such as aspect ratio, height, and variance in stroke width. Next, a number of angles that are candidates for use as skew of the image are determined (e.g. one angle is selected for each region. based on peakiness of a histogram of the region, evaluated at different angles). Then, an angle that is most common among these candidates is identified as the angle of skew of the image. The just-described identification of skew angle is performed prior to classification of any region as text or non-text. After skew identification, at least all regions in the subset are rotated by negative of the skew angle, to obtain skew-corrected regions for use in optical character recognition. | 01-23-2014 |
20140023270 | Parameter Selection and Coarse Localization of Interest Regions for MSER Processing - An attribute is computed based on pixel intensities in an image of the real world, and thereafter used to identify at least one input for processing the image to identify at least a first maximally stable extremal region (MSER) therein. The at least one input is one of (A) a parameter used in MSER processing or (B) a portion of the image to be subject to MSER processing. The attribute may be a variance of pixel intensities, or computed from a histogram of pixel intensities. The attribute may be used with a look-up table, to identify parameter(s) used in MSER processing. The attribute may be a stroke width of a second MSER of a subsampled version of the image. The attribute may be used in checking whether a portion of the image satisfies a predetermined test, and if so including the portion in a region to be subject to MSER processing. | 01-23-2014 |
20140023271 | Identifying A Maximally Stable Extremal Region (MSER) In An Image By Skipping Comparison Of Pixels In The Region - A difference in intensities of a pair of pixels in an image is repeatedly compared to a threshold, with the pair of pixels being separated by at least one pixel (“skipped pixel”). When the threshold is found to be exceeded, a selected position of a selected pixel in the pair, and at least one additional position adjacent to the selected position are added to a set of positions. The comparing and adding are performed multiple times to generate multiple such sets, each set identifying a region in the image, e.g. an MSER. Sets of positions, identifying regions whose attributes satisfy a test, are merged to obtain a merged set. Intensities of pixels identified in the merged set are used to generate binary values for the region, followed by classification of the region as text/non-text. Regions classified as text are supplied to an optical character recognition (OCR) system. | 01-23-2014 |
20140023273 | TRELLIS BASED WORD DECODER WITH REVERSE PASS - Systems, apparatuses, and methods to relate images of words to a list of words are provided. A trellis based word decoder analyses a set of OCR characters and probabilities using a forward pass across a forward trellis and a reverse pass across a reverse trellis. Multiple paths may result, however, the most likely path from the trellises has the highest probability with valid links. A valid link is determined from the trellis by some dictionary word traversing the link. The most likely path is compared with a list of words to find the word closest to the most. | 01-23-2014 |
20140023274 | Method Of Handling Complex Variants Of Words Through Prefix-Tree Based Decoding For Devanagiri OCR - An electronic device and method identify a block of text in a portion of an image of real world captured by a camera of a mobile device, slice sub-blocks from the block and identify characters in the sub-blocks that form a first sequence to a predetermined set of sequences to identify a second sequence therein. The second sequence may be identified as recognized (as a modifier-absent word) when not associated with additional information. When the second sequence is associated with additional information, a check is made on pixels in the image, based on a test specified in the additional information. When the test is satisfied, a copy of the second sequence in combination with the modifier is identified as recognized (as a modifier-present word). Storage and use of modifier information in addition to a set of sequences of characters enables recognition of words with or without modifiers. | 01-23-2014 |
20140023275 | REDUNDANT ASPECT RATIO DECODING OF DEVANAGARI CHARACTERS - An electronic device and method receive a block sliced from a rectangular portion of an image of a scene of real world captured by a camera and use a property of the block to operate one of multiple optical character recognition (OCR) decoders. In an illustrative aspect, a first OCR decoder is configured to recognize characters whose property satisfies the test based on a first limit, the first limit being obtained by reducing a predetermined limit by an overlap amount. In this illustrative aspect, a second OCR decoder is configured to recognize characters whose property does not satisfy the test based on a second limit, the second limit being obtained by increasing the predetermined limit by the overlap amount. When the property of the block satisfies the test, the first OCR decoder is operated and alternatively the second OCR decoder is operated, resulting in candidates for a character being identified. | 01-23-2014 |
20140023278 | Feature Extraction And Use With A Probability Density Function (PDF) Divergence Metric - An image of real world is processed to identify blocks as candidates to be recognized. Each block is subdivided into sub-blocks, and each sub-block is traversed to obtain counts, in a group for each sub-block. Each count in the group is either of presence of transitions between intensity values of pixels or of absence of transition between intensity values of pixels. Hence, each pixel in a sub-block contributes to at least one of the counts in each group. The counts in a group for a sub-block are normalized, based at least on a total number of pixels in the sub-block. Vector(s) for each sub-block including such normalized counts may be compared with multiple predetermined vectors of corresponding symbols in a set, using any metric of divergence between probability density functions (e.g. Jensen-Shannon divergence metric). Whichever symbol has a predetermined vector that most closely matches the vector(s) is identified and stored. | 01-23-2014 |
20140161365 | Method of Perspective Correction For Devanagari Text - An electronic device and method identify regions that are likely to be text in a natural image or video frame, followed by processing as follows: lines that are nearly vertical are automatically identified in a selected text region, oriented relative to the vertical axis within a predetermined range −max_theta to +max_theta, followed by determination of an angle θ of the identified lines, followed by use of the angle θ to perform perspective correction by warping the selected text region. After perspective correction in this manner, each text region is processed further, to recognize text therein, by performing OCR on each block among a sequence of blocks obtained by slicing the potential text region. Thereafter, the result of text recognition is used to display to the user, either the recognized text or any other information obtained by use of the recognized text. | 06-12-2014 |
20140168478 | Text Image Quality Based Feedback For Improving OCR - An electronic device and method capture multiple images of a scene of real world at a several zoom levels, the scene of real world containing text of one or more sizes. Then the electronic device and method extract from each of the multiple images, one or more text regions, followed by analyzing an attribute that is relevant to OCR in one or more versions of a first text region as extracted from one or more of the multiple images. When an attribute has a value that meets a limit of optical character recognition (OCR) in a version of the first text region, the version of the first text region is provided as input to OCR. | 06-19-2014 |
20150063700 | MULTIPLE HYPOTHESIS TESTING FOR WORD DETECTION - Embodiments disclosed pertain to Optical Character Recognition using Multiple Hypothesis Testing based techniques on images occurring in a variety of settings, including images captured by mobile stations. In some embodiments, a set of bifurcation points for a character cluster in an image may be determined. The character cluster may comprise non-uniformly spaced text or closely spaced text. A plurality of hypotheses may be determined for the character cluster, where each hypothesis is based on a subset of the bifurcation points and comprises a set of words generated from the character cluster. A plurality of scores corresponding to the plurality of hypotheses may be determined, where each score corresponds to a hypothesis, and a hypothesis may be selected from among the plurality of hypotheses based on a score associated with the selected hypothesis. | 03-05-2015 |
20150149952 | TEXT INPUT FOR ABUGIDA WRITING SYSTEMS WITH CONJUNCTS - Disclosed embodiments pertain to a method on a Mobile Station (MS) for input of text for abugida writing systems. In some embodiments, the method may comprise obtaining a base character by performing Optical Character Recognition (OCR) on written user-input on the MS. A conjunct character may also be obtained by applying one or more functional or diacritical operators to the base character. The conjunct character may then be displayed. | 05-28-2015 |
20150193667 | PROCESSING TEXT IMAGES WITH SHADOWS - Embodiments disclosed facilitate robust, accurate, and reliable recovery of words and/or characters in the presence of non-uniform lighting and/or shadows. In some embodiments, a method to recover text from image may comprise: expanding a Maximally Stable Extremal Region (MSER) in an image, the neighborhood comprising a plurality of sub-blocks; thresholding a subset of the plurality of sub-blocks in the neighborhood, the subset comprising sub-blocks with text, wherein each sub-block in the subset is thresholded using a corresponding threshold associated with the sub-block; and obtaining a thresholded neighborhood. | 07-09-2015 |
20150242710 | TRELLIS BASED WORD DECODER WITH REVERSE PASS - Systems, apparatuses, and methods to relate images of words to a list of words are provided. A trellis based word decoder analyses a set of OCR characters and probabilities using a forward pass across a forward trellis and a reverse pass across a reverse trellis. Multiple paths may result, however, the most likely path from the trellises has the highest probability with valid links. A valid link is determined from the trellis by some dictionary word traversing the link. The most likely path is compared with a list of words to find the word closest to the most. | 08-27-2015 |
20150364158 | DETECTION OF ACTION FRAMES OF A VIDEO STREAM - A method includes receiving, at a device, a plurality of image frames corresponding to a video stream. The plurality of image frames include a first image frame having a first resolution and a second image frame having a second resolution that is lower than the first resolution. The method also includes detecting, at the device, a trigger by analyzing the second image frame. The method further includes designating, at the device, the first image frame as an action frame based on the trigger. | 12-17-2015 |