Title :
Video transcoding by reducing spatial resolution
Author :
Yin, Peng ; Wu, Min ; Liu, Bede
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
In network delivery of digital video, if the bandwidth required for a video is not available, the video has to be recoded at a reduced bit rate. It is highly desirable that the transcoding is carried out in real time while maintaining reasonable image quality. In this paper, we propose a fast approach to derive from an MPEG stream a new MPEG stream with half the spatial resolution. For the downsized video, we first generate from the original compressed video an improved estimate of the motion vectors. We then propose a compressed domain approach with data hiding to produce DCT residues by an open-loop method. The computational complexity is significantly lower than a number of previous approaches. Simulation suggests that our approach produces reasonable image quality
Keywords :
computational complexity; data compression; data encapsulation; discrete cosine transforms; image resolution; motion estimation; transform coding; video coding; DCT residues; MPEG stream; compressed domain approach; computational complexity; data hiding; digital video; downsized video; image quality; motion vectors estimation; network delivery; open-loop method; spatial resolution reduction; video transcoding; Bandwidth; Bit rate; Image coding; Image quality; Motion estimation; Spatial resolution; Streaming media; Transcoding; Transform coding; Video compression;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901123