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Abstract

In some embodiments, content-category-level encoding statistical indicators (statistics) are assigned to weighted linear combinations of corresponding macroblock-level statistics. Content categories may identify potentially overlapping content types such as sky, water, grass, skin, and red content. The combination weights may be similarity measures describing macroblock similarities to content categories. A given macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Macroblock-level encoding parameters are generated by combining content-category-level parameters.

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