PISAR: Progressive image search and recommendation system by auto-interpretation and user behavior

Jen-Wei Huang, Chi Yao Tseng, Meng Cheng Chen, Ming Syan Chen

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

Many image search engines nowadays still struggle with the semantic gap between low level image features and high level image concepts. Some solutions are proposed to bridge the gap by using surrounding texts of images or by adding tags on images by single user. However, they can only provide obscure or limited information about images. Another problem is that users may not know exactly what they want when they search for images. In this work, we proposed a Progressive Image Search And Recommendation system, named as PISAR, to reduce the semantic gap by incorporating the auto-interpretation and user behavior. PISAR is able to progressively improve the interpretation of images and provide a list of recommendation. The evaluation results show that with the help of auto-interpretation and user behavior, the performance of search results and recommendation results can be progressively improved.

原文English
主出版物標題2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest
頁面1442-1447
頁數6
DOIs
出版狀態Published - 2011 十二月 23
事件2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, AK, United States
持續時間: 2011 十月 92011 十月 12

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(列印)1062-922X

Other

Other2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
國家United States
城市Anchorage, AK
期間11-10-0911-10-12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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