Name
Abstract | ||
|---|---|---|
Most information retrieval systems make indirect use of human knowledge in their retrieval process. The new method we present here aims to efficiently use human knowledge directly in combination with support vector machines for clustering. As illustrated in this paper, this approach is particularly applicable to concept retrieval from soccer-related videos. The first phase consists of extracting suitable features from video shots. Then, using a fuzzy rule base containing the experiences of experts, shots that do not include significant events are removed. Finally, the last phase uses SVM to classify results coming from the fuzzy system. The results of the classification phase are accompanied by a textual description and enables retrieval through text based query. Experimental result show good classification and satisfying retrieval process. |
Year | Venue | Keywords |
|---|---|---|
2009 | PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | Event Retrieval, Semantic Indexing, Hybrid Method, Fuzzy System, SVM, Soccer Video |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ehsan Lotfi | 1 | 117 | 7.13 |
| Mohammad R. Akbarzadeh-Totonchi | 2 | 125 | 18.26 |
| Hamid Reza Pourreza | 3 | 81 | 12.74 |
| Mona Yaghoubi | 4 | 0 | 0.34 |
| F. Dehghan | 5 | 0 | 0.34 |