Generalized arbitrary resizing for video transcoding

Haiyan Shu, Lap-Pui Chau

Abstract: In video transcoding, arbitrary resizing is always desired for end users with different display capabilities. In this paper, a two-stage resizing structure is proposed for arbitrary resizing. It gives a general solution for the realization of arbitrary resizing in the transform domain. Two constraints are given for the selection of parameter set to benefit the anti-aliasing and the picture quality. Illustrative examples show that our proposed two-stage resizing structure, with qualified parameter set, can provide a satisfactory solution for arbitrary resizing.