Abstract
Extraction of visual descriptors is a crucial problem for state-of-the-art visual information analysis. In this paper, we present a knowledge-based approach for detection of visual objects in video sequences, extraction of visual descriptors and matching with pre-defined objects. The proposed approach models objects through their visual descriptors defined in MPEG7. It first extracts moving regions using an efficient active contours technique. It then computes visual descriptions of the moving regions including color, motion and shape features that are invariant to affine transformations. The extracted features are matched to a-priori knowledge about the objects’ descriptions, using appropriately defined matching functions. Results are presented which illustrate the theoretical developments.
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References
Akrivas, G., Wallace, M., Andreou, G., Stamou, G., Kollias, S.: Context-Sensitive Semantic Query Expansion. In: IEEE International Conference Artificial Intelligence Systems AIS 2002 (to appear)
Avrithis, Y., Xirouhakis, Y., Kollias, S.: Affine-invariant curve normalization for object shape representation, classification, and retrieval. Machine Vision and Applications 13, 80–94 (2001)
Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
Black, M.J., Anandan, P.: The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields. In: CVIU, vol. 63(1), pp. 75–104 (1996)
Haykin, S.: Neural Networks, ch. 5, pp. 124–126. Macmillan College Publishing Company, Basingstoke (1994)
Huber, P.: Robust Statistics. Wiley. (ed.) NY (1981)
Ip, H.S., Dinggang, S.: An Affine-Invariant Active Contour Model (AI-Snake) for Model-Based Segmentation. Image and Vision Computing 16(2), 135–146 (1998)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. Int. Journal of Comp. Vis. 1(4), 321–331 (1988)
Madisetti, V.K., Williams, D.B. (eds.): The Digital Signal Processing Handbook, ch. 74, pp. 20–26. CRC Press, Boca Raton (1998)
ISO/IEC JTC1/SC29/WG11, Text of ISO/IEC 15938-3/FCD, Information Technology – Multimedia Content Description Interface – Part 3 Visual (October 2001)
Tsechpenakis, G., Xirouhakis, Y., Delopoulos, A.: A Multiresolution Approach for Main Mobile Object Localization in Video Sequences. In: International Workshop on Very Low Bitrate Video Coding (VLBV 2001), Athens, Greece (October 2001)
Tsechpenakis, G., Tsapatsoulis, N., Kollias, S.: Probabilistic Boundary-Based Contour Tracking with Snakes in Natural Cluttered Video Sequences. Int. Journal of Image and Graphics, IJIG (2003) (accepted)
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Tzouveli, P., Andreou, G., Tsechpenakis, G., Avrithis, Y., Kollias, S. (2004). Intelligent Visual Descriptor Extraction from Video Sequences. In: Nürnberger, A., Detyniecki, M. (eds) Adaptive Multimedia Retrieval. AMR 2003. Lecture Notes in Computer Science, vol 3094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25981-7_9
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DOI: https://doi.org/10.1007/978-3-540-25981-7_9
Publisher Name: Springer, Berlin, Heidelberg
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