| Presentation | 2005/2/18 Matching Words and Image Segments for Semantic Retrieval Andrea KUTICS, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents a new method for retrieving images. A user's similarity interpretation is subjective and a similarity model's interpretation is objective. This method combines textual and object-based visual features to decrease this difference. It uses a novel multi-scale segmentation framework to detect prominent objects in an image. These objects are grouped depending on their visual features and mapped to related words obtained from psychophysical studies. Then, a hierarchy of words expressing higher-level meaning is determined. This is based on natural language processing and user evaluation. Experiments were carried out on a large set of natural images. These showed higher retrieval precision in terms of estimating user retrieval semantics obtained via this two-layer word association. Various query specifications and options were also supported |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Retrieval / Semantics / Multi-modal / Segmentation |
| Paper # | NLC2004-127,PRMU2004-209 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2005/2/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Matching Words and Image Segments for Semantic Retrieval |
| Sub Title (in English) | |
| Keyword(1) | Image Retrieval |
| Keyword(2) | Semantics |
| Keyword(3) | Multi-modal |
| Keyword(4) | Segmentation |
| 1st Author's Name | Andrea KUTICS |
| 1st Author's Affiliation | School of Media Science, Tokyo University of Technology() |
| Date | 2005/2/18 |
| Paper # | NLC2004-127,PRMU2004-209 |
| Volume (vol) | vol.104 |
| Number (no) | 668 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |