Ping Yu

7548658, Jun 16, 2009

Sep 24, 2003

10/670415

Leonid I. Rudin - San Marino CA, US
Ping Yu - Los Angeles CA, US

Cognitech, Inc. - Pasadena CA

G06K 9/46

382246, 382244, 382245, 37524012, 37524016, 37524018

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.

7831533, Nov 9, 2010

Feb 5, 2008

12/026487

Leonid I. Rudin - San Marino CA, US
Jose Luis Lisani - Pasadena CA, US
Jean Michel Morel - Pasadena CA, US
Ping Yu - Pasadena CA, US

Cognitech, Inc. - Pasadena CA

G06N 5/00

706 45

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.

8200598, Jun 12, 2012

Sep 13, 2010

12/880989

Leonid I. Rudin - San Marino CA, US
Jose Luis Lisani - Pasadena CA, US
Jean Michel Morel - Pasadena CA, US
Ping Yu - Pasadena CA, US

Cognitech, Inc. - Pasadena CA

G06N 5/00

706 45

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.

8238679, Aug 7, 2012

Jun 9, 2009

12/481207

Leonid I. Rudin - San Marino CA, US
Ping Yu - Los Angeles CA, US

Cognitech, Inc. - Pasadena CA

G06K 9/46

382244, 382245, 382246

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.

20110169946, Jul 14, 2011

Jan 6, 2010

12/683185

LEONID I. RUDIN - San Marino CA, US
Ping Yu - Castaic CA, US

H04N 7/18
G01S 5/14
G01S 19/14

348135, 348E07085

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.

20130058402, Mar 7, 2013

Aug 6, 2012

13/567856

Leonid I. Rudin - San Marino CA, US
Ping Yu - Los Angeles CA, US

Cognitech, Inc. - Pasadena CA

H04N 7/26

37524008, 375E072

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.

7328198, Feb 5, 2008

Dec 31, 2004

11/028470

Leonid I. Rudin - San Marino CA, US
Jose Luis Lisani - Pasadena CA, US
Jean Michel Morel - Pasadena CA, US
Ping Yu - Pasadena CA, US

Cognitech, Inc. - Pasadena CA

G06N 5/00

706 20, 345473, 370352, 370252

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.