Title
SMART: an efficient, scalable, and robust streaming video system
Abstract
SMART, the acronym of scalable media adaptation and robust transport, is a suite of compression and transmission technologies for efficient, scalable, adaptive, and robust video streaming over the best-effort Internet. It consists of two indispensable parts: SMART video coding and SMART video streaming. The SMART video coding part is an efficient DCT-based universal fine granularity scalable coding scheme. Since the SMART video coding scheme adopts multiple-loop prediction and drifting reduction techniques at the macroblock level, it can achieve high coding efficiency at a wide range of bit rates. More importantly, it provides all sorts of scalabilities, that is, quality, temporal, spatial, and complexity scalabilities, in order to accommodate heterogeneous time-variant networks and different devices. The SMART video streaming part is a transport scheme that fully takes advantages of the special features of the scalable bitstreams. An accurate bandwidth estimation method is first discussed as the prerequisite of network adaptation. Then, flexible error resilience technique and unequal error protection strategy are investigated to enhance the robustness of streaming SMART bitstream. The SMART system shows excellent performances with regard to high coding efficiency, flexible channel bandwidth adaptation, smooth playback, and superior error robustness in static and dynamic experiments.
Year
DOI
Venue
2004
10.1155/S1110865704310218
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
high coding efficiency,scalable video coding,smart system,flexible channel bandwidth adaptation,scalable media adaptation,unequal error protection.,error resilience,scalable bitstreams,smart video coding,video streaming,smart bitstream,bandwidth estimation,smart video,video system,flexible error resilience technique,video transmission,fine granularity scalability,robust video,best effort
Macroblock,Smart system,Computer science,Robustness (computer science),Real-time computing,Video tracking,Bitstream,Channel capacity,Scalability,Scalable Video Coding
Journal
Volume
Issue
ISSN
2004,
2
1687-6180
Citations 
PageRank 
References 
6
0.58
19
Authors
7
Name
Order
Citations
PageRank
Feng Wu13635295.09
Honghui Sun2242.45
Jacky Shen3132885.87
Shipeng Li43902252.94
Ya-Qin Zhang53684320.41
bruce lin6577.46
Ming-Chieh Lee726626.55