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103
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ICIP
2002
IEEE
15 years 7 months ago
Video skims: taxonomies and an optimal generation framework
This paper presents a new conceptual framework for summarization that considers the relationship between entities, device properties and user information needs. We summarize using...
Hari Sundaram, Shih-Fu Chang
129
Voted
CIVR
2009
Springer
315views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Exploiting Facial Expressions for Affective Video Summarisation
This paper presents an approach to affective video summarization based on the facial expressions (FX) of viewers. A facial expression recognition system was deployed to capture a v...
Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu ...
135
Voted
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Key Frame Extraction in 3D Video by Rate-Distortion Optimization
3D video, which consists of a sequence of 3D mesh models, can provide detailed 3D information both in spatial and temporal domain. In this paper, a key frame extraction method has...
Jianfeng Xu, Toshihiko Yamasaki, Kiyoharu Aizawa
79
Voted
ICPR
2010
IEEE
15 years 22 days ago
Discriminating Intended Human Objects in Consumer Videos
In a consumer video, there are not only intended objects, which are intentionally captured by the camcorder user, but also unintended objects, which are accidentally framed-in. Sin...
Hiroshi Uegaki, Yuta Nakashima, Noboru Babaguchi
145
Voted
TCSV
2002
125views more  TCSV 2002»
15 years 2 months ago
Object-based video abstraction for video surveillance systems
ased Video Abstraction for Video Surveillance Systems Changick Kim, Member, IEEE, and Jenq-Neng Hwang, Fellow, IEEE Key frames are the subset of still images which best t the conte...
Changick Kim, Jenq-Neng Hwang