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
Source PublicationIMAGE AND VIDEO RETRIEVAL, PROCEEDINGS
2003
Volume2728Pages:101-110
SubtypeArticle
AbstractMost 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 HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS IDWOS:000185604400011
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9908
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
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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