Abstract
We participated in the user-centered search task at ImageCLEF 2004. In this paper, we proposed two interactive Cross-Language image retrieval systems-T-ICLEF and VCT-ICLEF. The first one is implemented with a practical relevance feedback approach based on textual information while the second one combines textual and image information to help users find a target image. The experimental results show that VCT-ICLEF has a better performance than T-ICLEF in almost all cases. Overall, VCT-ICLEF helps users find the image within a fewer iterations with a maximum of 2 iterations saved.
Original language | English |
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Journal | CEUR Workshop Proceedings |
Volume | 1170 |
Publication status | Published - 2004 |
Externally published | Yes |
Event | 2004 Cross Language Evaluation Forum Workshop, CLEF 2004, co-located with the 8th European Conference on Digital Libraries, ECDL 2004 - Bath, United Kingdom Duration: 2004 Sept 15 → 2004 Sept 17 |
Keywords
- Cross-Language image retrieval
- Interactive search
- Relevance feedback
- User behavior
ASJC Scopus subject areas
- General Computer Science