Patent application number | Description | Published |
20130129215 | METHOD AND SYSTEM FOR DESCRIBING IMAGE REGION BASED ON COLOR HISTOGRAM - A method and system for describing image region based on color histogram is provided. The method for describing an image region based on color histogram comprising: a color quantization step for quantizing said image region into a quantized color region, wherein a specific color range and colors outside the specific color range are differently treated in the quantizing; a color histogram calculation step for computing one or more color histograms according to said quantized color region; and a histogram assembling step for generating a unique vector by using said one or more color histograms. | 05-23-2013 |
20130223683 | Method and Apparatus for Generating Image Description Vector, Image Detection Method and Apparatus - This invention relates to a method and an apparatus for generating an image description vector, an image detection method and apparatus. The method for generating an image description vector comprising: an encoding step of encoding each of a plurality of pixel regions of an image into M pieces of N-bit binary codes, wherein each bit of an N-bit binary code represents a neighbouring pixel region which is in neighbourhood of a corresponding pixel region; and a generating step of generating an image description vector of the image based on matching at least one of the M pieces of N-bit binary code of each pixel region of the plurality of pixel regions with a particular code pattern, where M is an integer of 3 or larger, and N is an integer of 3 or larger. | 08-29-2013 |
20130223726 | METHOD AND APPARATUS OF CLASSIFICATION AND OBJECT DETECTION, IMAGE PICKUP AND PROCESSING DEVICE - A maximum hypersphere is created in the feature space according to support vectors, wherein the support vectors are one or more feature vectors in a feature space. A center of the created maximum hypersphere is calculated according to the support vector(s). A decision hyper sphere is created with the same center as the calculated center of the created maximum hypersphere. Feature vector(s) are classified within the decision hypersphere, as positive feature vector(s). False positive rate is kept to a predetermined level to provide effective object detection. | 08-29-2013 |
20130223727 | METHOD AND DEVICE FOR LEARNING OF A CLASSIFIER, AND PROCESSING APPARATUS - Unlabeled samples are added to existing samples. Candidate samples for new support vectors are extracted from the added unlabeled samples using a plurality of existing support vectors. The new support vectors are selected from the candidate samples using the plurality of existing support vectors. | 08-29-2013 |
20130303469 | EXTRACTION METHOD FOR ILEX KUDINGCHA C. J. TSENG LEAVES, TOTAL SAPONINS AND USE THEREOF - The present invention provides an extraction method for the leaves of | 11-14-2013 |
20140176752 | OBJECT DETECTION METHOD, OBJECT DETECTION APPARATUS AND IMAGE PICKUP APPARATUS - An object detection method performed by an apparatus which stores a general model for a specific object type in advance, the general model describing a plurality of components which are expected to co-exist in objects of the specific object type, the method including: a sample image receiving step of receiving one or more sample images, the one or more sample images each include a same query object of the specific object type; an object detector creating step of creating, using the general model and the one or more sample images, a detector specific to said query object; and an object detecting step of detecting, using the created detector specific to the query object, the query object from a destination image. According to the object detection method mentioned above, various objects of a specific object type can be precisely detected with high flexibility. | 06-26-2014 |
20150030255 | METHOD AND APPARATUS FOR CLASSIFYING PIXELS IN AN INPUT IMAGE AND IMAGE PROCESSING SYSTEM - The present disclosure relates to a method and apparatus for classifying pixels in an input image and image processing system. The apparatus includes a first confidence determination unit configured for determining a first confidence of each of the pixels in the input image belonging to each of a plurality of predetermined classes; a detection unit configured for acquiring, by using a detector for detecting a particular class among the plurality of predetermined classes, detection results used to indicate pixels which belong to the particular class; an updating unit configured for updating the first confidences according to the detection results; and a class determination unit configured for determining the class to which each of the pixels in the input image belongs among the plurality of predetermined classes, according to the updated first confidences. | 01-29-2015 |
20150036921 | IMAGE COMPOSITION EVALUATING APPARATUS, INFORMATION PROCESSING APPARATUS AND METHODS THEREOF - The present invention discloses an image composition evaluating apparatus, an information processing apparatus and methods thereof. The image composition evaluating apparatus comprises: a region segmentation unit configured to segment an image into a plurality of regions; a region attribution extraction unit configured to extract at least one attribution from each of the regions; a region relationship description unit configured to describe relationships among the regions based on the extracted attributions; and a composition evaluation unit configured to evaluate the composition of the image based on the extracted attributions, the described relationships and at least one preset criterion. The present invention can evaluate more kinds of images and/or more kinds of composition problems. | 02-05-2015 |
20150054824 | OBJECT DETECTION METHOD, OBJECT DETECTION DEVICE, AND IMAGE PICKUP DEVICE - An object detection device comprises a specific object detector configured to detect a specific object in an image, a scene model creation unit configured to create a scene model characterizing a background of the specific object in the image, and a filtering unit configured to filter object detection results of the specific object detector using the scene model to determine the specific object, wherein the scene model creation unit comprises a collection unit configured to collect regions other than the specific object to be detected from the image as samples, a feature extraction unit configured to extract first negative feature vectors from the samples, a clustering unit configured to cluster first negative feature vectors into a plurality of feature groups, and a classifier creation unit configured to create first classifiers each for respective one of the feature groups and to create the scene model by combining the first classifiers. | 02-26-2015 |