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Using Collection Information To Improve Low Level Feature Based Multimedia Retrieval
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ren, Reede |
| Copyright Year | 2008 |
| Abstract | We propose a statistical representation for media documents called feature terms. This approach normalises feature distributions in a collection and leads to a mixed query/document model for multimedia retrieval. Two related problems are addressed: (1) how to extract discrete feature terms from continuous low level features; (2) how to rank the relevance between documents. TRECVid 2006 video collection and its 24 content-based query topics are employed for evaluation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.semedia.org/PubFolder/UGUsingCollection%20InformationImproveLowLevelFeatureBasedMultimediaRetrieval.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |