51
Maxwell T Sandford II, Theodore G Handel, Jonathan N Bradley: Compression embedding. The Regents of the University of California, Milton D Wyrick, March 10, 1998: US05727092 (99 worldwide citation)

A method of embedding auxiliary information into the digital representation of host data created by a lossy compression technique. The method applies to data compressed with lossy algorithms based on series expansion, quantization to a finite number of symbols, and entropy coding. Lossy compression ...


52
Andrew Michael Zador: Method, apparatus and system for compressing data. Andrew Michael Zador, Gowling Lafleur Henderson, September 26, 2000: US06125201 (99 worldwide citation)

An apparatus and method for image data compression performs a modified zero-tree coding on a range of absolute image values from the largest to a determined smaller absolute value, based upon file size or quality. If it is desired to maintain more detail in the image, then a vector quantizer codes t ...


53
Wing S Wong, An Qin: Method and apparatus for establishing topic word classes based on an entropy cost function to retrieve documents represented by the topic words. The Chinese University of Hong Kong, Kenneth R Allen, Townsend and Townsend and Crew, October 3, 2000: US06128613 (98 worldwide citation)

A computer-based method and system for establishing topic words to represent a document, the topic words being suitable for use in document retrieval. The method includes determining document keywords from the document; classifying each of the document keywords into one of a plurality of preestablis ...


54
Eugenio Martinez Uriegas, Hewitt D Crane, John D Peters: Method and apparatus for compression and decompression of digital color images. SRI International, Townsend and Townsend Khourie and Crew, March 14, 1995: US05398066 (98 worldwide citation)

Color image compression and decompression is achieved by either spatially and chromatically multiplexing three digitized color planes, such as RGB (Red-Green-Blue), into a digital array representative of a single digitized spatially- and chromatically-multiplexed plane, or, by use of a color imaging ...


55
Raymond Lau, Ronald Rosenfeld, Salim Roukos: Building scalable N-gram language models using maximum likelihood maximum entropy N-gram models. International Business Machines Corporation, Robert Tasinari, Sterne Kessler Goldstein & Fox, November 14, 1995: US05467425 (98 worldwide citation)

The present invention is an n-gram language modeler which significantly reduces the memory storage requirement and convergence time for language modelling systems and methods. The present invention aligns each n-gram with one of "n" number of non-intersecting classes. A count is determined for each ...


56
Zhengrong Wang, Paul Steven Houle: Data compression using adaptive bit allocation and hybrid lossless entropy encoding. America Online, Fish & Richardson P C, April 11, 2000: US06049630 (97 worldwide citation)

A method and apparatus for adaptive bit allocation and hybrid lossless entropy encoding in a lossy compression system. The invention includes three components: (1) a transform stage to decorrelate image data into a baseband and multiple subbands, (2) a quantization stage to quantize the resulting tr ...


57
Anurag Bist: Adaptive entropy coding in adaptive quantization framework for video signal coding systems and processes. Conexant Systems, Price Gess & Ubell, August 29, 2000: US06111914 (96 worldwide citation)

A compression system and process include adaptive quantization for selection of one quantizer, for each video frame or frame portion, from a group of quantizers, where each quantizer is a set of predefined quantizer values, and coding of the quantized values using a common entropy coding table for a ...


58
Zhengrong Wang, Paul Steven Houle: Data compression using adaptive bit allocation and hybrid lossless entropy encoding. Johnson Grace Company, Fish & Richardson P C, October 28, 1997: US05682152 (96 worldwide citation)

A method and apparatus for adaptive bit allocation and hybrid lossless entropy encoding in a lossy compression system. The invention includes three components: (1) a transform stage to decorrelate image data into a baseband and multiple subbands, (2) a quantization stage to quantize the resulting tr ...


59
Shaw Min Lei, Ming Ting Sun, Kou Hu Tzou: Method and system for high order conditional entropy coding. Bell Communications Research, Leonard Charles Suchyta, March 29, 1994: US05298896 (95 worldwide citation)

Method and system for high order conditional entropy coding utilizing an incremental-tree-extension technique to design a conditional tree for the coding. For complexity reduction, code table reduction and non-uniform quantization of conditioning symbols or pixels is provided. A pattern matching tec ...


60
Azizul H Quazi: Method for detecting acoustic signals from an underwater source. The United States of America represented by the Secretary of the Navy, Michael J McGowan, Prithvi C Lall, Michael F Oglo, September 16, 1997: US05668778 (94 worldwide citation)

A method for detecting radiated and reflected acoustic signals from an unwater source, wherein the acoustic signals are present in a random noise environment and form an output therewith. The method includes the steps of operating an entropy-based acoustic receiver to receive the output, calculating ...