DocumentCode :
2822897
Title :
Resource aware real-time stream adaptation of MPEG-4 video in constrained bandwidth networks
Author :
Kotra, Anand ; Fohler, Gerhard
Author_Institution :
Tech. Univ. Kaiserslautern, Kaiserslautern, Germany
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we propose a novel method for real- time stream adaptation of live MPEG-4 Visual advanced simple profile (ASP) and simple profile (SP) bit streams to limited and varying network bandwidth. The proposed method operates by dropping higher order AC DCT coefficients present in blocks. Unlike frame dropping, the proposed method delivers finer granularity during adaptation and therefore smaller resource under-utilization. Furthermore, to optimize the resource utilization and consequently the perceptive video quality, the method attempts to represent the adapted block with the least possible number of bits. The low computation requirements of the proposed method qualifies its application to adaptation of live streams. Additionally, the method can be applied for other constrained resources as well (e.g. CPU bandwidth). Implementation and case study of the proposed method show that, on an average, a bit rate reduction of up to 50% and a decoding time speedup up to 20% are achieved when compared with that of the original bitstream. Results also affirm the efficiency in resource usage.
Keywords :
decoding; discrete cosine transforms; video coding; video streaming; ASP; CPU bandwidth; MPEG-4 video; SP; bit rate reduction; constrained-bandwidth networks; decoding time speed-up; discrete cosine transforms; frame dropping; higher-order AC DCT coefficients; limited-network bandwidth; live-MPEG-4 visual advanced simple profile; perceptive video quality; resource aware real-time stream adaptation; resource utilization; simple profile bit stream; varying-network bandwidth; Bandwidth; Decoding; Digital signal processing; Discrete cosine transforms; Resource management; Streaming media; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6116008
Filename :
6116008
Link To Document :
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