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MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions

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Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3333))

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Abstract

A novel video retrieval tool based on MPEG-4 video object (VO) representation is presented. The algorithm extends the concept of edge potential functions (EPF), already used in shape-based image retrieval, tailored to work on shapes extracted from VO planes defined in MPEG-4 syntax. First, key frames are selected from the VO sequence by detecting significant object deformations. Then, object boundaries are extracted from each key frame by a simple manipulation of the relevant object plane bitmap, and normalized. Finally a shape-EPF (S-EPF) is calculated from the normalized boundaries and used to perform the matching with user’s query. Experimental results demonstrate that the proposed algorithm is efficient and fast in indexing a video sequence according to the presence of specific video objects.

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References

  1. Aslandogan, Y.A., Yu, C.T.: Techniques and Systems for Image and Video Retrieval. IEEE Trans. on Knowledge and Data Engineering 11(1), 56–63 (1999)

    Article  Google Scholar 

  2. Yoshitaka, A., Ichikawa, T.: A Survey on Content-Based Retrieval for Multimedia Databases. IEEE Trans. on Knowledge & Data Engineering 11(1), 81–93 (1999)

    Article  Google Scholar 

  3. ISO/IEC 14496: Coding of audio-visual objects: Video. IInd edn. (2001)

    Google Scholar 

  4. Sikora, T.: The MPEG-4 Video Standard Verification Model. IEEE Trans. on Circuits and Systems for Video Technology 7(1), 19–31 (1997)

    Article  Google Scholar 

  5. Deng, Y., Manjunath, B.S.: Netra-V: Toward an Object-Based Video Representation. IEEE Trans. on Circuits and Systems for Video Technology 8(5), 616–627 (1998)

    Article  Google Scholar 

  6. Ferman, A.M., Günsel, B., Tekalp, A.M.: Object-Based Indexing of MPEG-4 Compressed Video. In: Proc. VCIP 1997, vol. SPIE-3024, pp. 953–963 (1997)

    Google Scholar 

  7. Ferman, A.M., Günsel, B., Tekalp, A.M.: Motion and Shape Signatures for Object-Based Indexing of MPEG-4 Compressed Video. In: Proc. ICASSP 1997, pp. 2601–2604 (1997)

    Google Scholar 

  8. Erol, B., Kossentini, F.: Similarity matching of arbitrarily shaped video by still shape features and shape deformations. In: Proc. ICIP 2001, pp. 661–664 (2001)

    Google Scholar 

  9. Dao, S.M., De Natale, F.G.B., Massa, A.: Edge Potential Functions and Genetic Algorithms for Shape-based Image Retrieval. In: Proc. ICIP 2003 (2003)

    Google Scholar 

  10. Erol, B., Kossentini, F.: Automatic Key Video Object Plane Selection Using the Shape Information in the MPEG-4 Compressed Domain. IEEE Trans. in Multimedia 2(2), 129–138 (2000)

    Article  Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Dao, MS., DeNatale, F.G.B., Massa, A. (2004). MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_69

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  • DOI: https://doi.org/10.1007/978-3-540-30543-9_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23985-7

  • Online ISBN: 978-3-540-30543-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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