Video search and indexing with reinforcement agent for interactive multimedia services

@article{Paul2013VideoSA,
  title={Video search and indexing with reinforcement agent for interactive multimedia services},
  author={Anand Paul and Bo-Wei Chen and K. Bharanitharan and Jhing-Fa Wang},
  journal={ACM Trans. Embedded Comput. Syst.},
  year={2013},
  volume={12},
  pages={25:1-25:16}
}
In this study, we present a video search and indexing system based on the state support vector (SVM) network, video graph, and reinforcement agent for recognizing and organizing video events. In order to enhance the recognition performance of the state SVM network, two innovative techniques are presented: state transition correction and transition quality estimation. The classification results are also merged into the video indexing graph, which facilitates the search speed. A reinforcement… CONTINUE READING
11 Extracted Citations
2 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 11 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-2 of 2 references

Similar Papers

Loading similar papers…