Title :
Generalized arbitrary resizing for video transcoding
Author :
Shu, Haiyan ; Chau, Lap-Pui
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
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
Keywords :
antialiasing; data compression; transcoding; transform coding; video coding; anti-aliasing; generalized arbitrary resizing; picture quality; transform domain; two-stage resizing structure; video transcoding; Discrete cosine transforms; Displays; Image sampling; Mathematics; Sampling methods; Signal analysis; Signal processing; Streaming media; Transcoding; Video sequences;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693822
