41
Navin Chaddha: Global motion estimator for motion video signal encoding. Microsoft Corporation, Schwegman Lundberg Woessner & Kluth P A, December 1, 1998: US05844613 (103 worldwide citation)

A transformation filter estimates global transformation parameters between a current frame and a previous frame of a motion video image according to corresponding relative positions of pixels within the two frames. Such estimated global transformation parameters estimate global translation, rotation ...


42
J Ward MacArthur, James V Radomski: Specific coefficient of performance measuring device. Honeywell, Alfred N Feldman, April 9, 1985: US04510576 (102 worldwide citation)

By measuring the power supplied to a compressor motor and by measuring four temperatures within a mechanical vapor-compression system, it is possible to develop a device for measuring and/or displaying the specific coefficient of performance of the mechanical vapor-compression system. The use of the ...


43
Chad McMillan, Jason Garman: System and method for determining data entropy to identify malware. Mandiant Corporation, SNR Denton US, November 29, 2011: US08069484 (101 worldwide citation)

Systems and methods for performing malware detection for determining suspicious data based on data entropy are provided. The method includes acquiring a block of data, calculating an entropy value for the block of data, comparing the entropy value to a threshold value, and recording the block of dat ...


44
Hamid Gharavi: Apparatus and method for differential sub-band coding of video signals. Bell Communications Research, James W Falk, Stephen M Gurey, November 6, 1990: US04969040 (99 worldwide citation)

A method and apparatus for achieving a high compression of a video signal. The PEL-by-PEL difference between an input signal consisting of digital PEL values of a scanned video signal and a motion compensated interframe prediction signal is decomposed into several narrow bands using separable two-di ...


45
David A Igel, Bruce L Wilkoff: Non-programmable automated heart rhythm classifier. The Cleveland Clinic Foundation, Calfee Halter & Griswold, February 20, 2001: US06192273 (98 worldwide citation)

A nonprogrammable automated heart rhythm classifier that may be used alone or in conjunction with a therapy system for delivering shock treatment or therapeutic drugs to a patient, a monitoring or recording system, a paging or alarm system, or other rhythm classifying device. The nonprogrammable hea ...


46
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 (98 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 ...


47
Wm Douglas Withers: Rapid entropy coding for data compression or decompression. Pegasus Imaging Corporation, Langen & Langen, October 6, 1998: US05818369 (97 worldwide citation)

A method of manipulating a series of data units comprising distinct data values, including the steps of modelling the occurrence probability of each distinct data value, repeatedly performing the steps of narrowing a manipulation result number into a subinterval determined by the occurrence probabil ...


48
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 (97 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 ...


49
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 (97 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 ...


50
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 ...



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