User intention modeling for interactive image retrieval
作者： Jingyu Cui , Fang Wen , Xiaoou Tang
DOI: 10.1109/ICME.2010.5583220
关键词:
摘要: We propose three innovative interactive methods to let computer better understand user intention in content-based image retrieval: 1. Smart list induces intention, thereby improves search results by intention-specific schema; 2. Reference strokes interaction allows specify detail about the pointing out interested regions; 3. Natural feedback easily collects data of relevance feedbacks boost performance system. Systematic study shows that proposed mechanism efficiency, reduces workload, and enhances experience.
lens.org 参考文章(86)
Jin-Woo Jeong, Kyung-Wook Park, OukSeh Lee, Dong-Ho Lee, Automatic Extraction of Semantic Relationships from Images Using Ontologies and SVM Classifiers Multimedia Content Analysis and Mining. pp. 184- 194 ,(2007) , 10.1007/978-3-540-73417-8_25
Elizabeth Harrison, System for interacting with developmentally challenged individuals ,(2006)
Yunshuang He, ShyhWei Teng, Guojun Lu, An Investigation of Using K-d Tree to Improve Image Retrieval Efficiency ,(2002)
Hung-Ming Sun, Method for interactive image retrieval based on user-specified regions ,(2001)
Yang Jiangming, Feng Jing, Shuo Wang, Lei Zhang, Toward optimized query suggeston: user interfaces and algorithms ,(2007)
Alberto Belussi, Christos Faloutsos, Estimating the Selectivity of Spatial Queries Using the `Correlation' Fractal Dimension very large data bases. pp. 299- 310 ,(1995)
Christopher K. Harris, Mauritius A. R. Schmidtler, Effective multi-class support vector machine classification ,(2003)
Brett L. Lindsley, Zhu Li, Bhavan Gandhi, Method for fuzzy logic rule based multimedia information retrival with text and perceptual features ,(2003)
John C. Platt, Fast training of support vector machines using sequential minimal optimization Advances in kernel methods. pp. 185- 208 ,(1999)
Chad Carson, Megan Thomas, Serge Belongie, Joseph M. Hellerstein, Jitendra Malik, Blobworld: A System for Region-Based Image Indexing and Retrieval Lecture Notes in Computer Science. pp. 509- 516 ,(1999) , 10.1007/3-540-48762-X_63