{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:39:35Z","timestamp":1750307975565,"version":"3.41.0"},"reference-count":32,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2008,1]]},"abstract":"<jats:p>At one end of the spectrum, research in interactive content-based retrieval concentrates on machine learning methods for effective use of relevance feedback. On the other end, the information visualization community focuses on effective methods for conveying information to the user. What is lacking is research considering the information visualization and interactive retrieval as truly integrated parts of one content-based search system. In such an integrated system, there are many degrees of freedom like the similarity function, the number of images to display, the image size, different visualization modes, and possible feedback modes. To base the optimal values for all of those on user studies is unfeasible. We therefore develop search scenarios in which tasks and user actions are simulated. From there, the proposed scheme is optimized based on objective constraints and evaluation criteria. In such a manner, the degrees of freedom are reduced and the remaining degrees can be evaluated in user studies. In this article, we present a system that integrates advanced similarity based visualization with active learning. We have performed extensive experimentation on interactive category search with different image collections. The results using the proposed simulation scheme show that indeed the use of advanced visualization and active learning pays off in all of these datasets.<\/jats:p>","DOI":"10.1145\/1324287.1324294","type":"journal-article","created":{"date-parts":[[2008,2,28]],"date-time":"2008-02-28T14:02:33Z","timestamp":1204207353000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["Optimization of interactive visual-similarity-based search"],"prefix":"10.1145","volume":"4","author":[{"given":"Giang Phuong","family":"Nguyen","sequence":"first","affiliation":[{"name":"University of Amsterdam, SJ Amsterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel","family":"Worring","sequence":"additional","affiliation":[{"name":"University of Amsterdam, SJ Amsterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2008,2,11]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/0165-1684(89)90079-0"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/502348.502359"},{"key":"e_1_2_1_3_1","volume-title":"Libsvm: A library for support vector machines. Software","author":"Chang C.","year":"2001","unstructured":"Chang , C. and Lin , C . 2001 . Libsvm: A library for support vector machines. Software available at http:\/\/www.csie.ntu.edu. tw\/~jlin\/libsvm. Chang, C. and Lin, C. 2001. Libsvm: A library for support vector machines. Software available at http:\/\/www.csie.ntu.edu. tw\/~jlin\/libsvm."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1101149.1101342"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the International Conference on Image Processing.","volume":"1","author":"Chen Y.","unstructured":"Chen , Y. , Zhou , X. , and Huang , T . 2001. One-class SVM for learning in image retrieval . In Proceedings of the International Conference on Image Processing. Vol. 1 . 34--37. Chen, Y., Zhou, X., and Huang, T. 2001. One-class SVM for learning in image retrieval. In Proceedings of the International Conference on Image Processing. Vol. 1. 34--37."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(87)90034-3"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000042993.50813.60"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-4632-7"},{"volume-title":"Proceedings of the International Conference on Image Processing.","author":"Gosselin P.","key":"e_1_2_1_9_1","unstructured":"Gosselin , P. and Cord , M . 2004. RETIN AL: An active learning strategy for image category retrieval . In Proceedings of the International Conference on Image Processing. Gosselin, P. and Cord, M. 2004. RETIN AL: An active learning strategy for image category retrieval. In Proceedings of the International Conference on Image Processing."},{"volume-title":"Proceedings of the International Conference on Computer Vision and Pattern Recognition.","author":"Guo G.","key":"e_1_2_1_10_1","unstructured":"Guo , G. , Jain , A. , Ma , W. , and Zhang , H . 2001. Learning similarity measure for natural image retrieval with relevance feedback . In Proceedings of the International Conference on Computer Vision and Pattern Recognition. Guo, G., Jain, A., Ma, W., and Zhang, H. 2001. Learning similarity measure for natural image retrieval with relevance feedback. In Proceedings of the International Conference on Computer Vision and Pattern Recognition."},{"volume-title":"Proceedings of the International Conference on Image and Video Retrieval. 491--499","author":"Heesch D.","key":"e_1_2_1_11_1","unstructured":"Heesch , D. and Ruger , S . 2004. Three interfaces for content-based access to image collections . In Proceedings of the International Conference on Image and Video Retrieval. 491--499 . Heesch, D. and Ruger, S. 2004. Three interfaces for content-based access to image collections. In Proceedings of the International Conference on Image and Video Retrieval. 491--499."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/503112.503114"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/2945.981847"},{"key":"e_1_2_1_14_1","first-page":"139","article-title":"One-class SVMs for document classification","volume":"2","author":"Manevitz L.","year":"2004","unstructured":"Manevitz , L. and Yousef , M. 2004 . One-class SVMs for document classification . J. Mach. Learn. Res. 2 , 139 -- 154 . Manevitz, L. and Yousef, M. 2004. One-class SVMs for document classification. J. Mach. Learn. Res. 2, 139--154.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000004834.62090.74"},{"volume-title":"Proceedings of the IEEE International Conference on Image Processing. IEEE Computer Society Press","author":"Naphade M.","key":"e_1_2_1_16_1","unstructured":"Naphade , M. , Basu , S. , Smith , J. , Lin , C. , and Tseng , B . 2002. Modeling semantic concepts to support query by keywords in video . In Proceedings of the IEEE International Conference on Image Processing. IEEE Computer Society Press , Los Alamitos, CA. Naphade, M., Basu, S., Smith, J., Lin, C., and Tseng, B. 2002. Modeling semantic concepts to support query by keywords in video. In Proceedings of the IEEE International Conference on Image Processing. IEEE Computer Society Press, Los Alamitos, CA."},{"volume-title":"Proceedings of the 7th International Workshop on Audio-Visual Content and Information Visualization in Digital Libraries.","author":"Nguyen G.","key":"e_1_2_1_17_1","unstructured":"Nguyen , G. and Worring , M . 2005. Similarity based visualization of image collections . In Proceedings of the 7th International Workshop on Audio-Visual Content and Information Visualization in Digital Libraries. Nguyen, G. and Worring, M. 2005. Similarity based visualization of image collections. In Proceedings of the 7th International Workshop on Audio-Visual Content and Information Visualization in Digital Libraries."},{"volume-title":"Proceedings of the International Conference on Image and Video Retrieval.","author":"Nguyen H.","key":"e_1_2_1_18_1","unstructured":"Nguyen , H. and Smeulders , A . 2004. Everything gets better all the time, apart from the amount of data . In Proceedings of the International Conference on Image and Video Retrieval. Nguyen, H. and Smeulders, A. 2004. Everything gets better all the time, apart from the amount of data. In Proceedings of the International Conference on Image and Video Retrieval."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/365024.365097"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.2001.0934"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/76.718510"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0901_5"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/69.929893"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/832277.834354"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.895972"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1101149.1101188"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00130487"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/500141.500159"},{"key":"e_1_2_1_30_1","unstructured":"Voorhees E. and Harman D. 2001. Trec-10 proceedings appendix on common evaluation measures. http:\/\/trec.nist.gov\/pubs\/trec10\/appendices\/measures.pdf.  Voorhees E. and Harman D. 2001. Trec-10 proceedings appendix on common evaluation measures. http:\/\/trec.nist.gov\/pubs\/trec10\/appendices\/measures.pdf."},{"volume-title":"Proceedings of the International Conference on Image Processing. 721--724","author":"Zhang L.","key":"e_1_2_1_31_1","unstructured":"Zhang , L. , Lin , F. , and Zhang , B . 2001. Support vector machine learning for image retrieval . In Proceedings of the International Conference on Image Processing. 721--724 . Zhang, L., Lin, F., and Zhang, B. 2001. Support vector machine learning for image retrieval. In Proceedings of the International Conference on Image Processing. 721--724."},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-002-0070-3"},{"key":"e_1_2_1_33_1","unstructured":"Zhu M. 2004. Recall precision and average precision. http:\/\/www.stats.uwaterloo.ca\/stats_navigation\/techreports\/04WorkingPapers\/2004-09.pdf.  Zhu M. 2004. Recall precision and average precision. http:\/\/www.stats.uwaterloo.ca\/stats_navigation\/techreports\/04WorkingPapers\/2004-09.pdf."}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1324287.1324294","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1324287.1324294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:58:26Z","timestamp":1750258706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1324287.1324294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,1]]},"references-count":32,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2008,1]]}},"alternative-id":["10.1145\/1324287.1324294"],"URL":"https:\/\/doi.org\/10.1145\/1324287.1324294","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"type":"print","value":"1551-6857"},{"type":"electronic","value":"1551-6865"}],"subject":[],"published":{"date-parts":[[2008,1]]},"assertion":[{"value":"2005-12-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2006-11-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2008-02-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}