Object-based video abstraction using cluster analysis

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 657-660

  Kim, C ^a   Hwang, J N ^a  

^a Epson Research and Development Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE RETRIEVAL; PROBABILITY DENSITY FUNCTION; VIDEO SIGNAL PROCESSING;

CLUSTER ANALYSIS; MEAN SHIFT ALGORITHM; OBJECT-BASED VIDEO ABSTRACTION;

IMAGE ANALYSIS;

EID: 0035167233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Object-based indexing of MPEG-4 compressed video
2. Automatic key video object plane selection using the shape information in the MPEG-4 compressed domain
3. An integrated scheme for video abstraction
4. The estimation of the gradient of a density function, with applications in pattern recognition
5. Mean shift analysis and applications
6. Mean shift, mode seeking, and clustering
7. Computer vision face tracking for use in a perceptual user interface
8. Robust analysis of feature spaces: Color image segmentation
9. Visual pattern recognition by moment invariants
10. A framework for object-based video analysis