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Compressed Video Spatio-Temporal Segmentation

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Encyclopedia of Multimedia

Definition

Video spatial-temporal segmentation is used to detect and track moving objects and can be performed on uncompressed or compressed video sequences.

Most spatio-temporal segmentation approaches proposed in the literature operate in the uncompressed pixel domain. This provides them with the potential to estimate object boundaries with pixel accuracy but requires that the processed sequence be fully decoded before segmentation can be performed. Often the need also arises for motion feature extraction using block matching algorithms. As a result, the usefulness of such approaches is usually restricted to non-real-time applications. Real-time pixel-domain methods are usually applicable only on head-and-shoulder sequences (e.g., video-conference applications) or are based on restrictive assumptions (e.g., that the background is uniformly colored).

To counter these drawbacks, compressed domain methods have been proposed for spatio-temporal segmentation. In their majority, they...

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References

  1. M.L. Jamrozik and M.H. Hayes, “A Compressed Domain Video Object Segmentation System,” Proceedings of the IEEE International Conference on Image Processing, Vol. 1, 2002, pp. 113–116.

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  2. R.V. Babu, K.R. Ramakrishnan, and S.H. Srinivasan, “Video Object Segmentation: A Compressed Domain Approach,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 4, April 2004, pp. 462–474.

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  3. V. Mezaris, I. Kompatsiaris, N.V. Boulgouris, and M.G. Strintzis, “Real-Time Compressed-Domain Spatiotemporal Segmentation and Ontologies for Video Indexing and Retrieval,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 5, May 2004, pp. 606–621.

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© 2008 Springer-Verlag

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(2008). Compressed Video Spatio-Temporal Segmentation. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_269

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