Hierarchical overlapped growing neural gas networks with applications to video shot detection and motion characterization

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1069-1074

  Cao, Xiang ^a   Suganthan, P N ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE CODING; IMAGE COMPRESSION; IMAGE SEGMENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOTION ESTIMATION; VIDEO SIGNAL PROCESSING;

HIERARCHICAL OVERLAPPED GROWING NEURAL GAS NETWORKS; MOTION CHARACTERIZATION; MOTION PICTURE EXPERTS GROUP; SUPERVISED LEARNING SCHEMES; UNSUPERVISED LEARNING SCHEMES; VIDEO SEQUENCE; VIDEO SHOT DETECTION;

RADIAL BASIS FUNCTION NETWORKS;

EID: 0036078574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. A growing neural gas network learns topologies
2. A neural-gas network learns topologies
3. Growing cell structures-A self-organizing network for unsupervised and supervised learning
4. Competitive hebbian learning rule forms perfectly topology preserving maps
5. Automatic construction of radial basis function networks with the growing neural gas model and its relevance for fuzzy logic
6. Hierarchical overlapped SOM's for pattern classification
7. Multiple HONG network fusion by fuzzy integral
8. Video sequence boundary detection using neural gas networks
9. A unified approach to shot change detection and camera motion characterization
10. Efficient segmentation and camera motion indexing of compressed video
11. Video parsing and browsing using compressed data
12. Video shot detection and characterization for video databases
13. Heterogeneous video transcoding to lower spatio-temporal resolutions and different encoding formats
14. Hybrid rule-based/neural approach for segmentation of MPEG compressed video
15. Vector median filters