Paper Info
Title
Structuralized context-aware content and scalable resolution support for wireless VoD services
Abstract
Video-on-demand (VoD) services allow users to receive real-time multimedia contents from afar distance. Yet, current architectures still require a context-aware indexing system to help users learn about story details. In this paper, we present a semantic processing system that offers structuralized video contents based on four basic entities: who, what, where, and when. Thus, users can select clips of interest among a video according to the guided clues. At the same time, we also present an SVC-compatible coding that improves spatial scalability in order to transmit the structuralized results for mobile devices efficiently. Users can, therefore, get a higher PSNR in low bit-rate applications. The experimental results have demonstrated the feasibility and effectiveness of our proposed system.
Year
DOI
Venue
2009
10.1109/TCE.2009.5174444
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
svc-compatible coding,structuralized context-aware content,afar distance,video content,context-aware indexing system,semantic processing system,current architecture,scalable resolution support,structuralized result,proposed system,basic entity,wireless vod service,real time,visualization,mobile devices,scalability,scalable video coding,ubiquitous computing,indexation,data mining,internet,pixel,mobile device,semantic processing,psnr,collaboration
Wireless,Computer science,Visualization,Computer network,Search engine indexing,Coding (social sciences),Mobile device,Ubiquitous computing,Multimedia,Scalable Video Coding,Scalability
Journal
Volume
Issue
ISSN
55
2
0098-3063
Citations 
PageRank 
References 
14
0.74
15
Authors
3
Name
Order
Citations
PageRank
Bo-Wei Chen126230.12
An-Chao Tsai216113.67
Jhing-fa Wang3982114.31