Name
Abstract | ||
|---|---|---|
In this paper, we describe a system for automatic and interactivecontent-based retrieval of video that integrates features,models, and semantics. The novelty of the approachlies in the (1) semi-automatic construction of models ofscenes, events, and objects from feature descriptors, and(2) integration of content-based and model-based queryingin the search process. We describe several approaches forintegration including iterative filtering, score aggregation,and relevance feedback... |
Year | Venue | Field |
|---|---|---|
2001 | TREC | Relevance feedback,Information retrieval,Video retrieval,Computer science,Automation,Iterative filtering,Novelty,Interactive content,Semantics,Visual Word |
DocType | Citations | PageRank |
Conference | 23 | 4.71 |
References | Authors | |
7 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John R. Smith | 1 | 4939 | 487.88 |
| Savitha Srinivasan | 2 | 556 | 81.89 |
| Arnon Amir | 3 | 751 | 69.90 |
| Sankar Basu | 4 | 168 | 32.17 |
| Giridharan Iyengar | 5 | 289 | 31.57 |
| Ching-yung Lin | 6 | 1963 | 175.16 |
| Milind R. Naphade | 7 | 1860 | 162.17 |
| Dulce B. Ponceleon | 8 | 158 | 19.64 |
| Belle L. Tseng | 9 | 1539 | 143.03 |