Lossless video data compression is performed in real time at the data rate of incoming real time video data in a process employing a minimum number of computational steps for each video pixel. A first step is to convert each pixel 8-bit byte to a difference byte representing the difference between the pixel and its immediate predecessor in a serialized stream of the pixel bytes. Thus, each 8-bit pixel byte is subtracted from its predecessor. This step reduces the dynamic range of the data. A next step is to discard any carry bits generated in the subtraction process of two's complement arithmetic. This reduces the data by a factor of two. Finally, the 8-bit difference pixel bytes thus produced are subject to a maximum entropy encoding process. Such a maximum entropy encoding process may be referred to as a minimum length encoding process. One example is Huffman encoding.
Video Demultiplexing Based On Meaningful Modes Extraction
Leonid I. Rudin - San Marino CA, US Jose Luis Lisani - Pasadena CA, US Jean Michel Morel - Pasadena CA, US Ping Yu - Pasadena CA, US
Assignee:
Cognitech, Inc. - Pasadena CA
International Classification:
G06N 5/00
US Classification:
706 45
Abstract:
Methods and systems for grouping video frames. The video frames may be from a multiplexed stream of video frames from a plurality of video sources. In some embodiments video frames are grouped by determining if the video frames share meaningful modes for values representative of features of the video frames.
Video Demultiplexing Based On Meaningful Modes Extraction
Leonid I. Rudin - San Marino CA, US Jose Luis Lisani - Pasadena CA, US Jean Michel Morel - Pasadena CA, US Ping Yu - Pasadena CA, US
Assignee:
Cognitech, Inc. - Pasadena CA
International Classification:
G06N 5/00
US Classification:
706 45
Abstract:
Methods and systems for grouping video frames. The video frames may be from a multiplexed stream of video frames from a plurality of video sources. In some embodiments video frames are grouped by determining if the video frames share meaningful modes for values representative of features of the video frames.
Lossless Video Data Compressor With Very High Data Rate
Leonid I. Rudin - San Marino CA, US Ping Yu - Los Angeles CA, US
Assignee:
Cognitech, Inc. - Pasadena CA
International Classification:
G06K 9/46
US Classification:
382244, 382245, 382246
Abstract:
Lossless video data compression is performed in real time at the data rate of incoming real time video data in a process employing a minimum number of computational steps for each video pixel. A first step is to convert each pixel 8-bit byte to a difference byte representing the difference between the pixel and its immediate predecessor in a serialized stream of the pixel bytes. Thus, each 8-bit pixel byte is subtracted from its predecessor. This step reduces the dynamic range of the data. A next step is to discard any carry bits generated in the subtraction process of two's complement arithmetic. This reduces the data by a factor of two. Finally, the 8-bit difference pixel bytes thus produced are subject to a maximum entropy encoding process. Such a maximum entropy encoding process may be referred to as a minimum length encoding process. One example is Huffman encoding.
System And Method For Determining Geo-Location(S) In Images
LEONID I. RUDIN - San Marino CA, US Ping Yu - Castaic CA, US
International Classification:
H04N 7/18 G01S 5/14 G01S 19/14
US Classification:
348135, 348E07085
Abstract:
Determining GPS coordinates of some image point(s) positions in at least two images using a processor configured by program instructions. Receiving position information of some of the positions where an image capture device captured an image. Determining geometry by triangulating various registration objects in the images. Determining GPS coordinates of the image point(s) positions in at least one of the images. Saving GPS coordinates to memory. This system and method may be used to determine GPS coordinates of objects in an image.
Lossless Video Data Compressor With Very High Data Rate
Leonid I. Rudin - San Marino CA, US Ping Yu - Los Angeles CA, US
Assignee:
Cognitech, Inc. - Pasadena CA
International Classification:
H04N 7/26
US Classification:
37524008, 375E072
Abstract:
Lossless video data compression is performed in real time at the data rate of incoming real time video data in a process employing a minimum number of computational steps for each video pixel. Each pixel 8-bit byte is converted to a difference byte representing the difference between the pixel and its immediate predecessor in a serialized stream of the pixel bytes. This reduces the dynamic range of the data. Any carry bits generated in the subtraction process of two's complement arithmetic are discarded. This reduces the data by a factor of two. Finally, the 8-bit difference pixel bytes thus produced are subject to a maximum entropy encoding process. Such a maximum entropy encoding process may be referred to as a minimum length encoding process.
Video Demultiplexing Based On Meaningful Modes Extraction
Leonid I. Rudin - San Marino CA, US Jose Luis Lisani - Pasadena CA, US Jean Michel Morel - Pasadena CA, US Ping Yu - Pasadena CA, US
Assignee:
Cognitech, Inc. - Pasadena CA
International Classification:
G06N 5/00
US Classification:
706 20, 345473, 370352, 370252
Abstract:
Methods and systems for grouping video frames. The video frames may be from a multiplexed stream of video frames from a plurality of video sources. In some embodiments video frames are grouped by determining if the video frames share meaningful modes for values representative of features of the video frames.
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Ping Yu
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Zhejiang University - Microelectronics and Solid State electronics, Nanjing Normal University - Physical Eelectronics, Chongqing Normal University - Physics
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