41
Navin Chaddha: Global motion estimator for motion video signal encoding. Microsoft Corporation, Schwegman Lundberg Woessner & Kluth P A, December 1, 1998: US05844613 (101 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
Richard L Baker, Jeffrey Bernstein, Bernd Girod, Xiancheng Yuan, Edmund Thompson: Hierarchical entropy coded lattice threshold quantization encoding method and apparatus for image and video compression. PictureTel Corporation, Hale and Dorr, September 22, 1992: US05150209 (100 worldwide citation)

A method and apparatus for encoding interframe error data in an image transmission system, and in particular in a motion compensated image transmission system for transmitting a sequence of image frames from a transmitter to a receiver, employ hierarchical entropy coded lattice threshold quantizatio ...


43
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 ...


44
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 (97 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 ...


45
Chad McMillan, Jason Garman: System and method for determining data entropy to identify malware. Mandiant Corporation, SNR Denton US, November 29, 2011: US08069484 (97 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 ...


46
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 ...


47
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 ...


48
Wm Douglas Withers: Rapid entropy coding for data compression or decompression. Pegasus Imaging Corporation, Langen & Langen, October 6, 1998: US05818369 (96 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 ...


49
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 (95 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 ...


50
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 (94 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 ...



Click the thumbnails below to visualize the patent trend.