To maximise the benefits from data compression, it would be advantageous to develop algorithms that do not require decompression to extract relevant information for post processing. In this paper, a novel technique for extracting variance is proposed for MPEG-2 compressed video using Parseval's theorem. Results show that the estimated variance closely matches with the actual variance. Furthermore, this technique is applied to identify scene changes in the compressed domain
|Translated title of the contribution||Statistical Feature Extraction from Compressed Video Sequences|
|Title of host publication||IEEE Int. Conf. on Image Processing (ICIP), Vancouver|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||925 - 928|
|Publication status||Published - Sep 2000|
|Event||International Conference on Image Processing (2000) - Vancouver, BC, Canada|
Duration: 1 Sep 2000 → …
|Conference||International Conference on Image Processing (2000)|
|Period||1/09/00 → …|
Bibliographical noteRose publication type: Conference contribution
Sponsorship: W Fernando would like to express his gratitude and sincere appreciation to the University of Bristol and CVCP for providing financial support for this work
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