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chapter i introduction
1.1 motivation
1.2 proposed solution
1.3 structure of book
chapter li approaches to video retrieval
2.1 introduction
2.2 video structure and properties
2.3 query
2.4 similarity metrics
2.5 performance evaluation metrics
2.6 systems
chapter ili spatio-temporai image and video analysis
3.1 spatio-temporal information for video retrieval
3.2 spatial information modelling in multimedia retrieval
3.3 temporal model
3.4 spatio-temporal information fusion
chapter iv video spatio-temporal analysis and retrieval (vstar). a new model
4.1 vstar model components
4.2 spatial image analysis
4.3 a model for the temporal analysis of image sequences
4.4 video representation, indexing, and retrieval using vstar
4.5 conclusions
chapter v two comparison baseline models for video retrieval
5.1 baseline models
5.2 adjeroh et al. (1999) sequences matching--video retrieval model
5.3 kim and park (2002a) data set matchingmvideo retrieval model
chapter vi spatio-temporal video retrievalmexperiments and results
6.1 purpose of experiments
6.2 data description
6.3 spatial and temporal feature extraction
6.4 video retriewd models: procedure for parameter optimisation
6.5 video retrieval models:results on parameter optimisation
6.6 comparison of four models
6.7 model robustness (noise)
6.8 computational complexity
6.9 conclusions
chapter vii conclusions
7.1 reflections on the book as a whole
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reference