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Spatio-Temporal Wavelet Transformations for Scalable Video Coding: Implementation Details and Experimental Results

Kotegar, Karunakar A and Pai, Manohara M.M. and Anitha, H (2005) Spatio-Temporal Wavelet Transformations for Scalable Video Coding: Implementation Details and Experimental Results. In: Proceedings of NVGIP, 2-3rd march 2005, J.N.N.C.E, Shimoga.

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Abstract

The scalable video coding is the need for today’s network in order to transmit the video over network of variable bandwidth. The multi-resolution nature of the wavelet transformation encourages both spatial and temporal scalability. The second-generation wavelet transformation (Lifted Wavelet Transformation) further supports for filtering and also reduces computational complexity. Wavelet transformation along the temporal direction need motion compensation (i.e. Motion Compensated Temporal Filtering (MCTF)). That can be done before spatial wavelet transformation (i.e. Spatial Domain Motion Compensated Temporal Filtering (SDMCTF) framework) or after the spatial wavelet transformation (i.e. In-Band Motion Compensated Temporal Filtering (IBMCTF) framework). The IBMCTF provides full scalability with additional computational complexity due to in band motion estimation. In this paper we have discussed a implementation details of all types of wavelet transformation, which will be used to de-correlate the spatial and temporal data in a video. Our implementation ideas are tested on standard test images and sequences.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Wavelet Transformation, Lifting and MCTF.
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 08 Jul 2011 10:56
Last Modified: 08 Jul 2011 10:56
URI: http://eprints.manipal.edu/id/eprint/544

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