Surveillance video retrieval using effective matching techniques
Challenges in surveillance video retrieval systems rises from two main issues. First, a so-called semantic gap exists between the user's intentions and the retrieval results, which is resulted from a lack of support for various query types, namely: query-by-keyword, query-by-example, query-by-r...
| Main Authors: | Chamasemani, Fereshteh Falah, Affendey, Lilly Suriani, Mustapha, Norwati, Khalid, Fatimah |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/68594/ http://psasir.upm.edu.my/id/eprint/68594/1/Surveillance%20video%20retrieval%20using%20effective%20matching%20techniques.pdf |
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