Title :
Complexity scalable video decoding via IDCT data pruning
Author_Institution :
Philips Lab., Briarcliff Manor, NY, USA
Abstract :
Resource constraint video decoding is critical for the next generation cost-driven multimedia devices. In this paper, we present a DCT-based computational complexity scalable video decoder via properly pruning the DCT data. Experimental results showed that the complexity can be scaled from 100% to 38% and the output quality is gracefully degraded
Keywords :
computational complexity; decoding; discrete cosine transforms; transform coding; video coding; DCT-based video decoder; IDCT data pruning; computational complexity; inverse discrete cosine transform; scalable video decoding; Algorithm design and analysis; Central Processing Unit; Computational complexity; Decoding; Degradation; Discrete cosine transforms; Energy management; Power system management; Resource management; Video sharing;
Conference_Titel :
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6622-0
DOI :
10.1109/ICCE.2001.935217
