DocumentCode :
3528243
Title :
Trends and opportunities in consumer video content navigation and analysis
Author :
Jiang, Junfeng ; Zhang, Xiao-Ping
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
fYear :
2012
fDate :
Jan. 30 2012-Feb. 2 2012
Firstpage :
578
Lastpage :
582
Abstract :
In recent years, digital videos are becoming available at an ever-increasing rate. It has never been easier for ordinary people to record, edit, deliver, and publish their own home-made digital videos over Internet. However, the increasing availability of digital video has not been accompanied by an increase in its accessibility. In other words, the abundance of video data makes it increasingly difficult for users to manage and navigate their video collections. In this paper, we first review the existing methodologies and technologies in video content analysis by addressing the trends and opportunities in consumer video content navigation and analysis. We then introduce a novel video content analysis framework using video time density function (VTDF) to tackle the problems in consumer video processing.
Keywords :
Internet; content management; information analysis; information retrieval; video signal processing; Internet; consumer video content analysis; consumer video content navigation; consumer video processing; home-made digital video; video collection; video time density function; Hidden Markov models; Navigation; Quantization; Rate-distortion; Semantics; Streaming media; Visualization; Key Frame Extraction; Video Content Analysis; Video Shot Boundary Detection; Video Summarization; Video Time Density Function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Networking and Communications (ICNC), 2012 International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-0008-7
Electronic_ISBN :
978-1-4673-0723-9
Type :
conf
DOI :
10.1109/ICCNC.2012.6167488
Filename :
6167488
Link To Document :
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