Comparison and combination of textual and visual features for interactive cross-language image retrieval

Pei Cheng Cheng*, Jen Yuan Yeh, Hao Ren Ke, Been Chian Chien, Wei Pang Yang

*此作品的通信作者

研究成果: 雜誌貢獻會議論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

This paper concentrates on the user-centered search task at Image-CLEF 2004. In this work, we combine both textual and visual features for cross-language image retrieval, and propose two interactive retrieval systems -T_ICLEF and VCT_ICLEF. The first one incorporates a relevance feedback mechanism 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 had a better performance in almost all cases. Overall, it helped users find the topic image within a fewer iterations with a maximum of 2 iterations saved. Our user survey also reported that a combination of textual and visual information is helpful to indicate to the system what a user really wanted in mind.

原文英語
頁(從 - 到)793-804
頁數12
期刊Lecture Notes in Computer Science
3491
DOIs
出版狀態已發佈 - 2005 一月 1
事件5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004: Multilingual Information Access for Text, Speech and Images - Bath, 英国
持續時間: 2004 九月 152004 九月 17

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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