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.
Patent No.:
Date of Patent:
Feb. 13, 2001
Filed:
Sep. 02, 1999
Robert Norman Hurst, Hopewell, NJ (US);
Sarnoff Corporation, Princeton, NJ (US);
Abstract
During transform-based video compression processing, motion vectors, which are identified during motion estimation and then used during motion-compensated inter-frame differencing, are constrained to coincide with block boundaries in the reference data. Block-based motion vectors have components that correspond to integer multiples of block dimensions. For example, for (8×8) blocks, allowable motion vector components are ( . . . , −16, −8, 0, +8, +16, . . . ). Constraining motion vectors in this way enables the resulting encoded video bitstream to be further processed in the transform domain without having to apply inverse and forward transforms. In particular, an existing input bitstream is partially decoded to recover the motion vectors and prediction error (i.e., dequantized transform coefficients). Because the motion vectors coincide with block boundaries in the corresponding reference data, motion-compensated inter-frame addition can then performed in the transform domain to generate transform data for subsequent processing (which may ultimately involve re-encoding the transform data into another encoded video bitstream). Because motion compensation can be performed in the transform domain, the bitstream data can be further processed in the transform domain and without having to apply expensive and lossy inverse and forward transforms.