Paper Info
Title
RD optimized bitstream extraction for H.264/SVC based video streaming
Abstract
Heterogeneity of the Internet and clients' operating environment necessitate the adaptation of media content to ensure a satisfactory multimedia experience. Scalable video coding (SVC) is a layer-based encoding scheme that achieves this adaptation through the extraction of partial bitstreams at reduced spatial, quality and temporal resolutions. The main focus of this paper is in developing such an extraction algorithm in the context of video streaming applications. Based on a combination of metadata computations and prediction mechanisms, our algorithm evaluates the quality contribution of each layer in the SVC bitstream and makes extraction decisions that are aimed at maximizing video quality while operating within the available bandwidth resources. When compared to earlier extraction methods such as JSVM-Basic and JSVM-QL, our algorithm offers a quality gain of 1.6 dB and 0.5 dB respectively. The proposed technique also achieves a 73% reduction in metadata computation time when compared to JSVM-QL.
Year
DOI
Venue
2012
10.1109/ICIP.2012.6467341
Image Processing
Keywords
Field
DocType
Internet,feature extraction,meta data,multimedia computing,video coding,video streaming,H.264/SVC based video streaming,Internet,RD optimized bitstream extraction,SVC,feature extraction algorithm,media content adaptation,metadata computations,multimedia experience,scalable video coding,video streaming applications,Bitrate adaptation,Bitstream extraction,H.264/SVC,Scalable video coding,Video streaming
Metadata,Video processing,Computer science,Multiview Video Coding,Real-time computing,Feature extraction,Bitstream,Video quality,Scalable Video Coding,Encoding (memory)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
1
PageRank 
References 
Authors
0.35
2
2
Name
Order
Citations
PageRank
Ramanathan Palaniappan161.51
Nikil Jayant210223.17