Dynamic Bayesian framework for extracting temporal structure in video

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2001, Pages

  Mittal, Ankush ^a   Cheong, Loong Fah ^a   Sing, Leung Tung ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; MOTION ESTIMATION; QUERY LANGUAGES; VIDEO SIGNAL PROCESSING;

DYNAMIC BAYESIAN FRAMEWORKS;

INFORMATION ANALYSIS;

EID: 0035684332     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Motion and color based video indexing and retrieval
2. JACOB: Just a content-based query system for video databases
3. Exposure to television as a risk factor for violence
4. Maximum likelihood from the incomplete data via the em algorithm
5. Massaging the medium: Analyzing and responding to media violence without harming the first
6. Time-to-collision from first-order models of the motion fields
7. A unified framework for shot transition-type detection
8. Dynamic belief networks for discrete monitoring
9. CHABOT: Retrieval from a relational database of images
10. A tutorial on hidden markov models and selected application in speech recognition
11. VisualSEEK: A fully automated content-based image query system
12. Content-based video indexing and retrival
13. Error bounds for convolutional codes and an asymptotically optimal decoding algorithm
14. On computing time-to-collision