Abstract
A spatial-temporal correlation technique for video data prediction is described in this paper. This technique is based on the analysis of the local correlation of video images. The mathematical formulation extends the current existing spatial correlation model to both spatial and temporal domain. Our proposed technique can be described mathematically as the minimization of an objective function under the least mean square error criterion. With the statistical analysis of video signal, the solution of the prediction problem becomes the problem of designing a suitable spatial-temporal kernel. This can be dealt with by solving a set of linear algebraic equations to determine the kernel coefficients. In our study, we designed a 2x2x2 (x-y-t) three-dimensional kernel. The experiments using the commercial TV program and video tapes were conducted and the results were encouraging.
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© 1997 Springer Science+Business Media New York
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Li, H.H., Sun, S. (1997). Spatial Temporal Prediction for Video Data Compression. In: Li, H.H., Sun, S., Derin, H. (eds) Video Data Compression for Multimedia Computing. The Springer International Series in Engineering and Computer Science, vol 378. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6239-9_3
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DOI: https://doi.org/10.1007/978-1-4615-6239-9_3
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