CASIA OpenIR  > 09年以前成果
Multilevel relevance judgment, loss function, and performance measure in image retrieval
Wu, H; Lu, HQ; Ma, SD; Bakker, EM; Huang, TS; Lew, MS; Sebe, N; Zhou, X
2003
发表期刊IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS
卷号2728页码:101-110
文章类型Article
摘要Most learning algorithms for image retrieval are based on dichotomy relevance judgement (relevance and non-relevance), though this measurement of relevance is too coarse. To better identify the user needs and preference, a good retrieval system should be able to handle multilevel relevance judgement. In this paper, we focus on relevance feedback with multilevel relevance judgment. We consider relevance feedback as an ordinal regression problem, and discuss its properties and loss function. Since traditional performance measures such as precision and recall are based on dichotomy relevance judgment, we adopt a performance measure that is based on the preference of one image to another one. Furthermore, we develop a new relevance feedback scheme based on a support vector learning algorithm for ordinal regression. Our solution is tested on real image database, and promising results are achieved.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science ; Imaging Science & Photographic Technology
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号WOS:000185604400011
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9908
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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GB/T 7714
Wu, H,Lu, HQ,Ma, SD,et al. Multilevel relevance judgment, loss function, and performance measure in image retrieval[J]. IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS,2003,2728:101-110.
APA Wu, H.,Lu, HQ.,Ma, SD.,Bakker, EM.,Huang, TS.,...&Zhou, X.(2003).Multilevel relevance judgment, loss function, and performance measure in image retrieval.IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS,2728,101-110.
MLA Wu, H,et al."Multilevel relevance judgment, loss function, and performance measure in image retrieval".IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS 2728(2003):101-110.
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