The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 09, 2014

Filed:

Jan. 04, 2008
Applicant:

Charles P. Pace, North Chittenden, VT (US);

Inventor:

Charles P. Pace, North Chittenden, VT (US);

Assignee:

Euclid Discoveries, LLC, Concord, MA (US);

Attorney:
Int. Cl.
CPC ...
H04N 7/12 (2006.01); H04N 11/02 (2006.01); H04N 11/04 (2006.01); H04N 19/527 (2014.01); H04N 19/90 (2014.01); H04N 19/146 (2014.01); H04N 19/23 (2014.01); H04N 19/14 (2014.01);
U.S. Cl.
CPC ...
H04N 19/00593 (2013.01); H04N 19/00945 (2013.01); H04N 19/00169 (2013.01); H04N 19/004 (2013.01); H04N 19/00157 (2013.01);
Abstract

A method and apparatus for image data compression includes detecting a portion of an image signal that uses a disproportionate amount of bandwidth compared to other portions of the image signal. The detected portion of the image signal result in determined components of interest. Relative to certain variance, the method and apparatus normalize the determined components of interest to generate an intermediate form of the components of interest. The intermediate form represents the components of interest reduced in complexity by the certain variance and enables a compressed form of the image signal where the determined components of interest maintain saliency. In one embodiment, the video signal is a sequence of video frames. The step of detecting includes any of: (i) analyzing image gradients across one or more frames where image gradient is a first derivative model and gradient flow is a second derivative, (ii) integrating finite differences of pels temporally or spatially to form a derivative model, (iii) analyzing an illumination field across one or more frames, and (iv) predictive analysis, to determine bandwidth consumption. The determined bandwidth consumption is then used to determine the components of interest.


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