Rgb Systems, Inc.

Electrosonic Limited

Peter Lionel Smith

Methods of data encoding using trees formed with logic gates are described which lead to spatial compression of image data. Data encoding is achieved using a five-level wavelet transform, such as the Haar or the 2/10 transform. A dual transform engine is used, the first and engine being used for the first part of the first-level transform, the second part of the first-level transform and the subsequent-level transforms being performed by the second transform engine within a time interval which is less than or equal to the time taken by the first transform engine to effect the part-transform. Each bit plane of the resulting coefficients is then encoded by forming a tree structure from the bits and OR logical combinations thereof. Redundant data are removed from the resulting tree structure, and further data can be removed by using a predetermined compression profile. The resulting blocks of compressed data are of variable length and are packaged with sync words and index words for transmission so that the location and identity of the transformed data blocks can be determined from the received signal.

Method and apparatus for packaging image data for transmission over a network

Method and apparatus for compressing image data using a tree structure

The present invention is a method and apparatus for adaptively compressing and transmitting streaming video, preferably implemented in hardware as part of a codec, that adaptively applies a variable rate of compression to images in a video stream to optimize the quality attainable for a given transport bandwidth. In one or more embodiments, image frames from the video stream are divided into blocks, and a variable compression ratio compression engine compresses the blocks for transmission over a network. Depending on their compressed sizes, one or more of the compressed blocks are packaged into fixed size data packets for transmission over a network. The data packets are fed into a packet buffer. A packet servo releases packets from the buffer to achieve a desired transport data rate. The amount of compression applied by the compression engine is controlled based on the number of packets in the buffer. In one or more embodiments, a plurality of indexed compression vectors are predefined for the compression engine that provide increasing amounts of compression. In one or more embodiments, the index of the compression vector used by the compression engine is incremented when the buffer level of the packet buffer increases, and decremented when the buffer level decreases. In this manner the compression applied by the compression engine automatically adapts to changing entropy within the images of the video stream to optimize the video quality for a given transport data rate.

Method and apparatus for adaptively compressing streaming video

Method and apparatus for encoding image data using wavelet signatures

Method and apparatus for compressing image data using compression profiles

Methods of spatial compression of image data using trees formed with logic gates are described. Data encoding is achieved using a five-level wavelet transform, such as the Haar or 2/10 transforms. A dual transform engine is used, the first engine being used for the first transform, and the subsequent transforms being performed by the second engine. Each bit plane of the resulting coefficients is then encoded by forming a tree structure from the bits and logical OR combinations thereof. Redundant data are removed. Further data can be removed with a predetermined compression profile. The resulting blocks of compressed data are of variable length and are packaged with sync and index words for transmission so that the location and identity of the transformed data blocks can be determined.

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Bromley, United Kingdom

Peter Lionel Smith