Patent application number | Description | Published |
20100091841 | SYSTEM AND METHOD OF OPTIMIZED BIT EXTRACTION FOR SCALABLE VIDEO CODING - A device for use with a frame generating portion that is arranged to receive picture data corresponding to a plurality of pictures and to generate encoded video data for transmission across a transmission channel having an available bandwidth. The frame generating portion can generate a frame for each of the plurality of pictures to create a plurality of frames. The encoded video data is based on the received picture data. The device includes a distortion estimating portion and inclusion determining portion and an extracting portion. The distortion estimating portion can estimate a distortion. The inclusion determining portion can establish an inclusion boundary based on the estimated distortion. The extracting portion can extract a frame from the plurality of frames based on the inclusion boundary. | 04-15-2010 |
20110002391 | DIGITAL IMAGE COMPRESSION BY RESOLUTION-ADAPTIVE MACROBLOCK CODING - Disclosed is an image encoder that divides a digital image into a set of “macroblocks.” If appropriate, a macroblock is “downsampled” to a lower resolution. The lower-resolution macroblock is then encoded by applying spatial (and possibly temporal) prediction. The “residual” of the macroblock is calculated as the difference between the predicted and actual contents of the macroblock. The low-resolution residual is then either transmitted to an image decoder or stored for later use. In some embodiments, the encoder calculates the rate-distortion costs of encoding the original-resolution macroblock and the lower-resolution macroblock and then only encodes the lower-resolution macroblock if its cost is lower. When a decoder receives a lower-resolution residual, it recovers the lower-resolution macroblock using standard prediction techniques. Then, the macroblock is “upsampled” to its original resolution by interpolating the values left out by the encoder. The macroblocks are then joined to form the original digital image. | 01-06-2011 |
20110002554 | DIGITAL IMAGE COMPRESSION BY RESIDUAL DECIMATION - Disclosed is an image encoder that divides a digital image into a set of “macroblocks.” Each macroblock is encoded by applying spatial (and possibly temporal) prediction. The “residual” of the macroblock is calculated as the difference between the predicted content of the macroblock and the actual content of the macroblock. The residual is then “decimated” by taking an orderly subset of its values. The decimated residual is then either transmitted to an image decoder or is stored for later use. To recreate the original image, the macroblocks are first recreated from their received residuals. When a decimated residual is received, the values of the residual left out during decimation are interpolated from the values actually received. Using the prediction techniques along with the residual, the original content of the macroblock is recovered. The macroblocks are then joined to form the original digital image. | 01-06-2011 |
20130016912 | Image Topological Coding for Visual Search - A method and an apparatus for processing an image generate a first vector of a first number dimension for the image from a first number of points of the image based on topological information of the first number of points, and the first vector for the image is invariant to rotation and scaling in creating the image. The first number of points may be locations of a set of rotation and scaling invariant feature points for the image, and the generated first vector may be a graph spectrum of a pair-wise distance matrix generated from the first number of points of the image. | 01-17-2013 |
20130121598 | System and Method for Randomized Point Set Geometry Verification for Image Identification - Object recognition can be improved by verifying a geometric consistency between matching interesting points pairs of two images, as objects with the images are more likely to match when the matching interesting points pairs are geometrically consistent. The geometric consistency between matching interesting points pairs can be verified in accordance with a topology code distance vector (D). The topology code distance vector (D) may be evaluated in accordance with a decision tree classifier, which may be trained in accordance with previous or historic topology code distance vectors. The topology code distance vector (D) may be computed from a subset of matching interesting points pairs having the shortest matching distance. | 05-16-2013 |
20130142439 | Scalable Query for Visual Search - A system and a method for progressive queries, which are a sequence of queries for visual search of an image, sent from a sender to a receiver of a communication network, are disclosed. Queries based on a set of feature points and their associated locations of an image may be selected in sequence. A sender sends a first query to a receiver, wherein the first query comprises a number of feature points which is a subset of the set of feature points of the image invariant to rotation and scaling in creating the image. The sender receives a feedback from the receiver, wherein the feedback is generated by the receiver based on searching an image repository using information from the first query. The sender then decides whether there is a match of the image in the image repository based on the received feedback. | 06-06-2013 |
20150213616 | VISUAL INSPECTION SYSTEM FOR AUTOMATED DETECTION OF PARTICULATE MATTER IN FLEXIBLE MEDICAL CONTAINERS - Systems and methods for automated detection and classification of objects in a fluid of a receptacle such as, for example, a soft-sided receptacle such as a flexible container. The automated detection may include initiating movement of the receptacle to move objects in the fluid contained by the receptacle. Sequential frames of image data may be recorded and processed to identify moving objects in the image data. In turn, at least one motion parameter of the objects may be determined and utilized to classify the object into at least one of a predetermined plurality of object classes. For example, the object classes may at least include a predetermined class corresponding to bubbles and a predetermined class corresponding to particles. | 07-30-2015 |