Synonyms
Semantic image retrieval; Tag-based image retrieval; Tag-based image search; Text-based image retrieval
Definition
Given (i) a textual query and (ii) a set of images and their annotations (phrases or keywords), annotation-based image retrieval systems retrieve images according to the matching score of the query and the corresponding annotations. There are three levels of queries according to Eakins [1]:
Level 1: Retrieval by primitive features such as color, texture, shape, or the spatial location of image elements, typically querying by an example, i.e., “find pictures like this.”
Level 2: Retrieval by derived features, with some degree of logical inference. For example, “find a picture of a flower.”
Level 3: Retrieval by abstract attributes, involving a significant amount of high-level reasoning about the purpose of the objects or scenes depicted. This includes retrieval of named events, of pictures with emotional or religious significance, etc., e.g., “find pictures of a...
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Long F, Zhang HJ, Feng DD. Fundamentals of content-based image retrieval. In: Feng D, editor. Multimedia information retrieval and management: technological fundamentals and applications. Berlin/Heidelberg: Springer; 2013; Part I. p. 1–26. ISSN: 1860-4862.
Zhang L, Rui Y. Image search from thousands to billions in 20 years. ACM TOMCCAP 2013;9(1s): Article No. 36. Special Issue on the 20th Anniversary of the ACM MM Conference; New York.
Liu Y, Zhang D, Lu G, Ma W-Y. A survey of content-based image retrieval with high-level semantics. Pattern Recogn. 2007;40(1):262–82.
Rui Y, Huang TS, Chang S-F. Image retrieval: current techniques, promising directions, and open issues. J Vis Commun Image Represent. 1999;10(4):39–62.
Chang S-F, Ma W-Y, Smeulders A. Recent advances and challenges of semantic image/video search. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing; 2007. p. 1205–8.
Blei D, Jordan MI. Modeling annotated data. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2003. p. 127–34.
Jeon J, Lavrenko V, Manmatha R. Automatic image annotation and retrieval using cross-media relevance models. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2003. p. 119–26.
Chang S-F, Chen W, Sundaram H. Semantic visual templates: linking visual features to semantics. In: Proceedings of the International Conference on Image Processing; 1998. p. 531–4.
Zhuang Y, Liu X, Pan Y. Apply semantic template to support content-based image retrieval. In: Proceedings of the SPIE, Storage and Retrieval for Media Databases; 1999. p. 442–9.
Wang X-J, Zhang L, Jing F, Ma W-Y. AnnoSearch: image auto-annotation by search. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition; 2006. p. 1483–90.
Wang X-J, Zhang L, Li X, Ma W-Y. Annotating images by mining image search results. IEEE Trans Pattern Anal Mach Intell. 2008;30(11):1919–32.
Dai LC, Wang X-J, Zhang L, Yu NH. Efficient tag mining via mixture modeling for real-time search-based image annotation. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2012.
Wang X-J, Zhang L, Ma W-Y. Duplicate-search-based image annotation using web-scale data. Proc IEEE. 2012;100(9):2705–21.
Wang X-J, Zhang L, Liu M, Li Y, Ma W-Y. ARISTA – image search to annotation on billions of web photos. In: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition; 2010.
Wang X-J, Zhang L, Liu C. Duplicate discovery on 2 billion internet images. IEEE Conference on Computer Vision and Pattern Recognition; 2013.
El-Saban M, Wang X-J, Hasan N, Bassiouny M, Refaat M. Seamless annotation and enrichment of mobile captured video streams in real-time. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2011.
Zhang X, Zhang L, Wang X-J, Shum H-Y. Finding celebrities in billions of webpages. IEEE Transactions on Multimedia. 2012;14(4):995–1007.
Eakins J, Graham M. Content-based image retrieval. Technical report. Tyne: University of Northumbria at Newcastle; 1999.
Wang X-J, Yu M, Zhang L, Ma W-Y. Advertising based on users’ photos. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2009.
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Wang, XJ., Zhang, L. (2018). Annotation-Based Image Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_17
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