British Broadcasting Corporation

Motorola Corporation

British Telecommunications Public Limited Company

Motorola Solutions, Inc.

Ebroul Izquierdo

Saverio Blasi

Marta Mrak

Li-Qun Xu

Shenglan Huang

Saverio Giovanni Blasi

An efficient high quality video coding and decoding technique is described. A prediction block is generated that contains modified coefficients. The modified coefficients improve the efficiency of the compression process once the prediction block is subtracted from the original block to generate a residual signal for quantisation and encoding. A similar process operates at the decoder side. The processes may operate in both the frequency and the spatial domain.

Adaptive prediction of coefficients of a video block

A method of encoding image or video content within a set of targets such as a time, a complexity, quality, and bitrate, using an encoder having a plurality of coding configurations, comprises setting an initial coding configuration in the encoder, where coding configurations differ one from the other in the number of options tested for each of one or more tools. A first part of the content is encoded in the initial configuration and measures are made of the number of times a specified tool is used and a representative time taken to test an option for that specified tool. From those measures a prediction is made of the time difference between the time taken to encode content using the initial coding configuration and the time taken to encode content using another coding configuration in which a different number of options are tested for that specified tool.

Image or video encoding and decoding

A method of fragile watermarking is characterized by the step of generating at least a first ill-conditioned operator, said ill-conditioned operator being related to values extracted from an image or portion thereof A.

Method and apparatus for fragile watermarking

A method and system for processing an image recorded by an imaging device may include: a) providing an image having an array of adjacent elements each corresponding to a respective part of the image and having a respective intensity value associated therewith; b) processing the intensity values to determine an intensity contrast value for each respective element according to differences in intensity values between respective adjacent elements; c) determining a depth value for each element corresponding to the distance between the imaging device and at least part of an image forming object represented in the image by the respective element; d) processing the depth values to determine a depth contrast value for each respective element according to differences in depth values between respective adjacent elements; and, processing the intensity contrast values and depth contrast values to identify at least one area of the image corresponding to one or more respective objects in the image being processed. The last noted process step can be a non-linear diffusion process whereby variations in grey level values are diffused in regions corresponding to objects or background and enhanced in regions corresponding to object boundaries.

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London, United Kingdom

Ebroul Izquierdo