Image analysis – Image compression or coding
Reexamination Certificate
2004-12-21
2009-10-20
Bali, Vikkram (Department: 2624)
Image analysis
Image compression or coding
C382S233000, C382S236000, C382S238000, C382S239000, C382S251000, C375S240150, C375S240240, C375S240230
Reexamination Certificate
active
07606427
ABSTRACT:
This disclosure describes rate control techniques that can improve video encoding. In particular, the described rate control techniques exploit relationships between the number of bits encoded per frame and the number of non-zero coefficients of the video blocks after quantization. The number of number of non-zero coefficients of the video blocks after quantization is referred to as rho (ρ). The value of ρ is generally proportional to the number of bits used in the video encoding. This disclosure utilizes a relationship between ρ and a quantization parameter (QP) in order to achieve rate controlled video encoding. More specifically, this disclosure provides techniques for generating a lookup table (LUT) that maps values of ρ to different QPs.
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Chang Yong
Malayath Narendranath
Molloy Stephen
Bali Vikkram
Bayat Ali
Evans Matthew J.
Pappas George C.
QUALCOMM Incorporated
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