Title :
Viewpoint Sequence Recommendation Based on Contextual Information for Multiview Video
Author :
Xueting Wang ; Hirayama, Takatsugu ; Mase, Kenji
Author_Institution :
Nagoya Univ., Nagoya, Japan
Abstract :
This automatic video sequence recommendation method selects optimal sets of context-dependent, high-quality viewpoints from multiview videos to enhance the viewing experience. The recommendation method bases its selections on user preferences.
Keywords :
image sequences; recommender systems; video signal processing; contextual information; multiview video; user preferences; video sequence recommendation method; viewpoint sequence recommendation; Clustering algorithms; Data structures; Hidden Markov models; Markov processes; Multimedia communication; Time series analysis; autonomous agents; context-aware; multicamera content; multimedia; multiview video navigation; personalization; soccer play analysis; user preference; video editing;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2015.75
