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» Object Level Grouping for Video Shots
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TRECVID
2008
13 years 9 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...
ICIAP
2007
ACM
14 years 7 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»
13 years 7 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»
14 years 1 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,...
TCSV
2002
90views more  TCSV 2002»
13 years 7 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