38 results about "Scalable compression" patented technology

An apparatus and method is provided for highly scalable intraframe video coding. The conventional macroblock DCT tools are integrated with the subband filter banks for the improved efficiency of scalable compression. The enhancement layers are represented in a subband domain and coded by an inter-layer frame texture coder utilizing inter-layer prediction signal formed by the decoded previous layer. Each quality enhancement layer is additionally scalable in resolution.

Apparatus and method to decode video data while maintaining a target video quality using an integrated error control system including error detection, resynchronization and error recovery are described. Robust error control can be provided by a joint encoder-decoder functionality including multiple error resilience designs. In one aspect, error recovery may be an end-to-end integrated multi-layer error detection, resynchronization and recovery mechanism designed to achieve reliable error detection and error localization. The error recovery system may include cross-layer interaction of error detection, resynchronization and error recovery subsystems. In another aspect, error handling of a scalable coded bitstream is coordinated across a base-layer and enhancement layer of scalable compressed video.

The present invention relates to a method and apparatus for producing a fully scalable compressed representation of video sequences, so that they may be transmitted over networks, such as the Internet, for example. Because the signal is scalable, users receiving the signal can obtain the signal at the appropriate resolution and quality that their system will handle or that they desire. The invention implements a "motion compensated temporal wavelet transform" in order to enable compression of the video in a scalable fashion while still taking advantage of inter-frame redundancy in a manner which is sensitive to scene and camera motion. The motion compensated temporal wavelet transform is implemented by decomposing the video sequence into a set of temporal frequency bands and then applying a sequence of motion compensated lifting operations to alternately update an odd frame sub-sequence based upon an even sub-sequence and vice versa in a manner which is sensitive to motion.

An apparatus for efficiently performing spatial scalable compression of an input video stream is disclosed. A base encoder encodes a base encoder stream. Modifying means modifies content of the base encoder stream to create a plurality of base streams. An enhancement encoder encodes an enhancement encoder stream. Modifying means modifies content of the enhancement encoder stream to create a plurality of enhancement streams.

Disclosed are scalable quantizers for audio and other signals characterized by a non-uniform, perception-based distortion metric, that operate in a common companded domain which includes both the base-layer and one or more enhancement-layers. The common companded domain is designed to permit use of the same unweighted MSE metric for optimal quantization parameter selection in multiple layers, exploiting the statistical dependence of the enhancement-layer signal on the quantization parameters used in the preceding layer. One embodiment features an asymptotically optimal entropy coded uniform scalar quantizer. Another embodiment is an improved bit rate scalable multi-layer Advanced Audio Coder (AAC) which extends the scalability of the asymptotically optimal entropy coded uniform scalar quantizer to systems with non-uniform base-layer quantization, selecting the enhancement-layer quantization methodology to be used in a particular band based on the preceding layer quantization coefficients. In the important case that the source is well modeled as Laplacian, the optimal conditional quantizer is implementable by only two distinct switchable quantizers depending on whether or not the previous quantizer identified the band in question as a so-called "zero dead-zone:" Hence, major savings in bit rate are recouped at virtually no additional computational cost. For example, the proposed four layer scalable coder consisting of 16 kbps layers achieves performance close to a 60 kbps non-scalable coder on the standard test database of 44.1 kHz audio.

Scalable image compression is exploited to facilitate the creative process in the post-production of motion pictures. Specifically, digital intermediate (DI) processing of motion pictures is enabled by dynamically rendering proxies in response to client requests. A DI application is designed to enhance the efficiency of post-processing and the quality of the work product of the editors, colorists and other creative people. The DI application also provides a method for efficiently formatting the product for film, digital cinema, DVD and other video applications.

A method and an apparatus for efficiently performing spatial scalable compression of video information captured in a plurality of frames including an encoder for encoding and outputting the captured video frames into a compressed data stream is disclosed. A base encoder for encoding an interlaced bitstream having a relatively lower pixel resolution. A spatial enhancement encoder for encoding a differential between a de-interlaced local decoder output from the base layer and an input signal.

A video encoder/decoder with spatial scalable compression schemes using spatial sharpness enhancement techniques is disclosed. The video compression scheme introduces a number of various video enhancement techniques on the base layer. A picture analyzer is used to determine the best or the best mix of various video enhancement techniques. The picture analyzer compares the selected mix of video enhancement techniques with the original full resolution input signal to determine for which of the pixels or groups of pixels a residual enhancement layer is required. Parameters defining the selected mix of video enhancement techniques are transmitted to the decoder layer so the same mix of video enhancement techniques can be used in the decoder layer.

A more efficient spatial scalable compression scheme using adaptive content filtering is disclosed. The amount of video compression of a spatial scalable compression scheme is increased by the introduction of a multiplier on the residual stream of the enhancement layer. The multiplier is controlled by gain values for each pixel or group of pixels in each frame of video from a picture analyzer, wherein the gain values tend toward zero for areas with little or no detail and tends toward one for edges and text. Thus, the multiplier acts as a filter to reduce the amount of bits spent on irrelevant data of the enhancement layer. The multiplier also allows dynamic resolution compression.

A method and apparatus provide the ability to resample video frame into various resolutions, and to predict, quantize, and entropy code the video signal for spatially scalable compression and networking applications. The solution involves a unified re-sampling and estimation-theoretic prediction, quantization, and entropy coding framework, which by design is tailored to allow base layer coding information to be fully accessible and usable by enhancement layers; and for the enhancement layer to account for all available information from both layers for superior compression performance. Specialization may include specific techniques for coding and networking scenarios, where the potential of the unified resampling and estimation-theoretic framework is realized to considerably improve the overall system performance over existing schemes.

The present invention relates to a video decoder having means for compressing reference frame data ( 6 ) using a scalable compression method. The video decoder further having buffer means ( 8 ) for intermediate storing of at least the vertical aperture (range) of motion vectors plus one row (slice) of macro blocks in lines of video per reference frame. Further it includes means for decompressing reference frame data ( 7 ) for enabling means for motion compensation ( 10 ) of said decoder to reconstruct vector predicted pictures and macro blocks utilizing said decompressed reference frame data. The present invention also relates to a method to be implemented by such a video decoder.

Scalable image compression is exploited to facilitate the creative process in the post-production of motion pictures. Specifically, digital intermediate (DI) processing of motion pictures is enabled by dynamically rendering proxies 126 (steps 122, 124, 128) in response to client requests (steps 116, 118). A DI application is designed to enhance the efficiency of post-processing and the quality of the work product of the editors, colorists and other creative people. The DI application also provides a method for efficiently formatting the product for film, digital cinema, DVD and other video applications.

The invention provides a scalable compressed video collection and reconstruction system based on structured sparsity. The system comprises a structured sparse learning module, a signal decomposition module, a telescopic sensing module and a telescopic reconstruction module, and the structured sparse learning module uses data to drive a subspace joint model and layered subspace learning at a codingend and a decoding end to generate a sparse basis matrix. The scalable compressed sampling provided by the invention conforms to a distributed progressive structure of a video sampling process; the progressive construction of the structured sparse basis matrix also improves the accuracy and efficiency of reconstruction, improves the scalable sampling efficiency of video signals, obtains reconstruction gain under different sampling compression ratios compared with other methods, and also has good expandability.

The disclosure herein relates to devices for compression, decompression or reconstruction of image data for still or moving pictures, such as image data detected with a digital camera. In some embodiments, data channels are compressed using a scalable compression algorithm. The compression algorithm may allow customization of compression parameters, such as a quantization factor, code block size, number of transform levels, reversible or irreversible compression, a desired compression ratio with a variable bit rate output, a desired fixed bit rate output with a variable compression rate, progression order, output format, or visual weighting. A lower quality image or an image with lower resolution may be reconstructed using only some of the compressed data. Use of offsets to various layers and color channels allow reconstruction of the image without requiring decompression of all of the full image data.