Title :
An Interactive Attention- Ranking System for Video Search
Author :
Shih, Huang-Chia ; Huang, Chung-Lin ; Hwang, Jenq-Neng
Author_Institution :
Nat. Tsing Hua Univ., Hsinchu, Taiwan
fDate :
4/1/2009 12:00:00 AM
Abstract :
The authors present an attention-ranking algorithm that measures user interest level for video frames in a way that is similar to how Google´s PageRank algorithm determines the importance of Web sites.
Keywords :
interactive systems; video retrieval; Google PageRank algorithm; Web site importance; interactive attention-ranking system; interest level measurement; video frames; video search; Cameras; Computational modeling; Context awareness; Context modeling; Feature extraction; Semantics; Visualization; information retrieval; interactive systems; learning.; pattern recognition;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2009.97
