Patent application number | Description | Published |
20090080531 | IMAGE ENCODING APPARATUS, IMAGE DECODING APPARATUS, AND CONTROL METHOD THEREFOR - This invention scans a block using a window having a size of p×q pixels, and encodes p×q sub-block data each formed from pixel data at relatively identical positions in windows. A blocking unit receives a 16×16-pixel block image. A sub-block division unit scans the received block for each 2×2-pixel window, and generates 2×2 sub-block data each having a size of 8×8 pixels. Each sub-block is formed from pixel data at relatively identical positions in windows. A variable length coding unit encodes each sub-block data. When the sum of encoded sub-block data exceeds an allowable encoded data amount, a sub-block elimination unit eliminates encoded sub-block data until the sum becomes equal to or smaller than the allowable encoded data amount. The sub-block elimination unit outputs the remaining encoded sub-block data as encoded data of a block of interest. | 03-26-2009 |
20100046840 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD FOR EVALUATING A PLURALITY OF IMAGE RECOGNITION PROCESSING UNITS - An image processing method includes sending test image data to a plurality of image recognition units configured to detect a recognition object from an image, setting an evaluation condition for evaluating a recognition result, evaluating a recognition result of the test image data by each of the plurality of image recognition units under the evaluation condition, and selecting from the plurality of image recognition units an image recognition unit to be used based on an evaluation result by the evaluation. | 02-25-2010 |
20100086177 | IMAGE PROCESSING APPARATUS AND METHOD - An image processing apparatus which is capable of suppressing an increase in the circuit size of buffers between data-processing circuits, thereby enabling an associated component thereof to be implemented by hardware. A position control unit sequentially shifts a position of a sub window image by a predetermined skip amount in a predetermined scanning direction, for scanning, and further repeating the scanning for skipped sub window images, after shifting a start position of the scanning, to thereby determine positions of all sub window images each as an area from a face image is to be detected. | 04-08-2010 |
20110090340 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus comprises a detection unit that detects an area having a predetermined feature from image data, a selection unit that selects, based on information of the detected area, a transfer method in which a total transfer amount of data is smallest from a plurality of transfer methods whereby the data of the detected area is divided and transferred, and a transfer unit that divides the data of the detected area and transfers from a first storage device in which the image data has been stored to a second storage device by the selected transferring method. The image processing apparatus can minimize a transfer overhead which is caused when image data is divided and transferred. | 04-21-2011 |
20110158544 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus includes an information input section that reads input image information, a cumulative image information generator that generates cumulative image information for pixels corresponding to positions of pixels of a prescribed pixel pattern in the read input image information, and a memory controller that stores in the cumulative image information holding memory the cumulative image information generated in the cumulative image information generator. This configuration allows memory resources necessary for holding the cumulative image information to be reduced. | 06-30-2011 |
20130236103 | PATTERN IDENTIFYING APPARATUS, PATTERN IDENTIFYING METHOD AND PROGRAM - A pattern identifying apparatus comprises: a generating unit to generate, from input data corresponding to an area, accumulated information corresponding to each position in the area; plural storing units to hold the accumulated information for each dimension; a writing unit to write the accumulated information corresponding to each position to one of the plural storing units according to a predetermined rule concerning the corresponding position; a parallel reading unit to read the accumulated information in parallel from the plural storing units; a feature quantity calculating unit to calculate a feature quantity of a local area by using the read accumulated information; and an identifying unit to identify a predetermined pattern by using the plural feature quantities. The number of the storing units allocated to at least one dimension of the area corresponding to the input data and a reading interval of the accumulated information are in a coprime relation. | 09-12-2013 |
20130343653 | PATTERN IDENTIFYING APPARATUS - The present invention enables a pattern identifying apparatus that calculates a feature amount and identifies a predetermined pattern, such as a face, based on the calculated feature amount to perform processing for reading a large volume of data at a high speed. To achieve this, a coprime relationship is established between an interval between adjoining processing windows arranged in an image and the number of memories in which the image is interleaved and stored, thereby always establishing an exclusive relationship between the memories from which data at the same position relative to reference points in the respective processing windows is read. It is thus possible to read data simultaneously, resulting in achievement of speedup. | 12-26-2013 |
20140314312 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An edge graph in which a pixel of an image is set as a node and an edge is set between nodes is generated. The dissimilarity or similarity between nodes at the two ends of the edge is used as the feature amount of the edge, and the edge is classified into one of a plurality of classes based on the feature amount. The edge of interest is selected in ascending class order of the feature amount, and it is determined whether to merge determination target regions to which the nodes at the two ends of the edge of interest belong. Determination target regions determined to be able to be merged are merged, and a feature amount in the merged region is updated. | 10-23-2014 |