Abstract
The importance of context in modern multimedia computing applications is widely acknowledged and has become a major topic of interest in multimedia content analysis systems. In this paper we focus on visual context, tackling it from the scope of its utilization within the above framework. We present a brief review of visual context modeling methods and identify and discriminate its useful types within multimedia applications, envisioning possible usage scenarios for contextual information. Finally, a representation of visual context modeling is reviewed, being suitable for aiding in the case of common multimedia analysis problems, such as object detection and scene classification.
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References
Ashley, J., Flickner, M., Lee, D., Niblack, W., Petkovic, D.: Query by image content and its applications. IBM Research Report, RJ 9947 (87906) Computer Science/Mathematics (March 1995)
Davis, M., Good, N., Sarvas, R.: From Context to Content: Leveraging Context for Mobile Media Metadata (2004)
Kalantidis, Y., Tolias, G., Avrithis, Y., Phinikettos, M., Spyrou, E., Mylonas, P., Kollias, S.: VIRaL: Visual Image Retrieval and Localization. Multimedia Tools and Applications 51(2), 555–592 (2011)
Lipson, P., Grimson, E., Sinha, P.: Configuration based scene classification and image indexing. In: IEEE International Conference on Computer Vision & Pattern Recognition (1997)
Murphy, K., Torralba, A., Freeman, B.: Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes. In: NIPS 2003 (2003)
Mylonas, P., Spyrou, E., Avrithis, Y., Kollias, S.: Using Visual Context and Region Semantics for High-Level Concept Detection. IEEE Transactions on Multimedia 11(11), 229–243 (2009)
Naphade, M., Huang, T.S.: A factor graph framework for semantic indexing and retrieval in video. In: CVPR Workshop on Content-based Image and Video Retrieval (2000)
Ohta, Y.: Knowledge-based interpretation of outdoor natural color scenes. Pitman Advanced Publishing Program, Boston (1983)
Saber, E., Tekalp, A.M., Eschbach, R., Knox, K.: Automatic image annotation using adaptive colour classification. CVGIP: Graphical Models and Image Processing 58, 115–126 (1996)
Schilit, B., Adams, N., Want, R.: Context-Aware Computing Applications. In: IEEE Workshop on Mobile Computing Systems and Applications, Santa Cruz, CA (1994)
Smith, J.R., Chang, S.: Local color and texture extraction and spatial query. In: IEEE International Conference on Image Processing (1996)
Smith, J.R., Li, C.-S.: Decoding image semantics using composite region templates. In: IEEE Int. Workshop on Content-based Access of Image & Video Database (1998)
Vailaya, A., Jain, A.: Detecting sky and vegetation in outdoor images. In: SPIE, vol. 3972 (January 2000)
Wallace, M., Akrivas, G., Mylonas, P., Avrithis, Y., Kollias, S.: Using context and fuzzy relations to interpret multimedia content. In: 3rd International Workshop on Content-Based Multimedia Indexing (CBMI), IRISA, Rennes, France (September 2003)
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Mylonas, P. (2012). Understanding How Visual Context Influences Multimedia Content Analysis Problems. In: Maglogiannis, I., Plagianakos, V., Vlahavas, I. (eds) Artificial Intelligence: Theories and Applications. SETN 2012. Lecture Notes in Computer Science(), vol 7297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30448-4_46
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DOI: https://doi.org/10.1007/978-3-642-30448-4_46
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