Intel Corporation

Dolby Laboratories Licensing Corporation

Hyung-Suk Kim

Tinku Acharya

Hyun Mun Kim

Regunathan Radhakrishnan

Walter Christian Gish

Claus Bauer

David Ruhoff

Christopher J Vogt

Zhen Li

Donald Pian

Kent Bennett Terry

Brian David Link

Eric Gsell

Wen-Shan Wang

Enhancing image dynamic range is described. An input video signal that is represented in a first color space with a first color gamut, which is related to a first dynamic range, is converted to a video signal that is represented in a second color space with a second color gamut. The second color space is associated with a second dynamic range. At least two (e.g., three) color-related components of the converted video signal are mapped over the second dynamic range.

Extending image dynamic range

An embodiment includes a method that includes receiving a number of pixels of video data. The method also includes commencing a first arithmetic operation of a matrix of the number of pixels with a transpose of a constant matrix prior to a first element of the second row being received.

Transform scheme for video coding

Signatures that can be used to identify video and audio content are generated from the content by generating measures of dissimilarity between features of corresponding groups of pixels in frames of video content and by generating low-resolution time-frequency representations of audio segments. The signatures are generated by applying a hash function to intermediate values derived from the measures of dissimilarity and to the low-resolution time-frequency representations. The generated signatures may be used in a variety of applications such as restoring synchronization between video and audio content streams and identifying copies of original video and audio content. The generated signatures can provide reliable identifications despite intentional and unintentional modifications to the content.

Extracting features of audio signal content to provide reliable identification of the signals

Extracting features of video and audio signal content to provide reliable identification of the signals

The present disclosure relates to the compression of data and, more particularly, to the compression of video data based at least upon a variable bit rate compression scheme.

Adaptive video bit-rate control

A method of locating a half-pixel resolution motion vector. The method first determines a sum of absolute difference for a predetermined number of neighbors to a current pixel. The gradient of these sums of absolute differences is then calculated. A motion vector is then selected based upon the gradient that indicates which vector lies in a direction of steepest descent. This motion vector is then used in motion compensation for video compression.

Fast half-pixel motion estimation using steepest descent

A method of determining a quantization parameter for video compression. A block characteristic for blocks in a video frame is quantized and then used to obtain a candidate quantization parameter. With the candidate quantization parameter, a number of bits for the blocks in the video frame is summed, producing a candidate bit rate. If the candidate bit rate is greater than a predetermined bit rate threshold, the candidate quantization parameter is set as the quantization parameter.

Growing community of inventors

Valencia, CA, United States of America

Hyung-Suk Kim