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» Object Level Grouping for Video Shots
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TRECVID
2008
14 years 11 months ago
Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...
90
Voted
ICIAP
2007
ACM
15 years 10 months ago
Video Objects Segmentation by Robust Background Modeling
This paper deals with the problem of segmenting a video shot into a background (still) mosaic and one or more foreground moving objects. The method is based on ego-motion compensa...
Andrea Colombari, Andrea Fusiello, Vittorio Murino
CORR
2010
Springer
182views Education» more  CORR 2010»
14 years 10 months ago
Semantic Modeling and Retrieval of Dance Video Annotations
Dance video is one of the important types of narrative videos with semantic rich content. This paper proposes a new meta model, Dance Video Content Model (DVCM) to represent the ex...
Kannan Rajkumar, Balakrishnan Ramadoss
ICMCS
2006
IEEE
150views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Hierarchical Summarization of Videos by Tree-Structured Vector Quantization
Accurate grouping of video shots could lead to semantic indexing of video segments for content analysis and retrieval. This paper introduces a novel cluster analysis which, depend...
Sergio Benini, Aldo Bianchetti, Riccardo Leonardi,...
76
Voted
TCSV
2002
90views more  TCSV 2002»
14 years 9 months ago
Shot-boundary detection: unraveled and resolved?
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval. A video shot is defined as a series of inte...
Alan Hanjalic