Paper Info
Title
Video corpus construction and analysis
Abstract
This paper proposes video corpus analysis as a new approach to video handling. The purpose of this approach is to discover frequent and characteristic video expressions from a large amount of video data. A video corpus has been built and currently consists of about 180 hours of MPEG-2 encoded video data, automatically extracted characteristics, and manually tagged attributes. These data include shot boundaries, camera operations, transition time and types between shots, text appearance in video, and thumbnail video frame images. Various tools are developed to enter, analyze, and visualize the video data and attributes. This paper mentions early results; analysis of the video corpus using N-gram statistics of the frame images, probabilities of attributes, and distribution of text appearance timing, reveals some interesting video expressions and usages that can be adopted for video handling.
Year
DOI
Venue
1999
10.1109/MMCS.1999.778512
Multimedia Computing and Systems, 1999. IEEE International Conference
Keywords
Field
DocType
multimedia databases,video coding,video databases,MPEG-2,N-gram statistics,camera operations,encoded video data,shot boundaries,text appearance,transition time,video corpus,video corpus analysis,video frame images,video handling
Computer vision,Video processing,Video capture,Video post-processing,Information retrieval,Computer science,Multiview Video Coding,Video tracking,Artificial intelligence,Smacker video,Video compression picture types,Uncompressed video
Conference
Volume
ISBN
Citations 
2
0-7695-0253-9
2
PageRank 
References 
Authors
0.50
12
3
Name
Order
Citations
PageRank
Takashi Satou120.50
Akihito Akutsu230877.61
Yoshinobu Tonomura3554149.46