Abstract
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 |
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Original language | English |
Title of host publication | IEEE Int. Conf. on Image Processing (ICIP), Vancouver |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 925 - 928 |
Volume | 3 |
ISBN (Print) | 0780362977 |
DOIs | |
Publication status | Published - Sept 2000 |
Event | International Conference on Image Processing (2000) - Vancouver, BC, Canada Duration: 1 Sept 2000 → … |
Conference
Conference | International Conference on Image Processing (2000) |
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Country/Territory | Canada |
City | Vancouver, BC |
Period | 1/09/00 → … |
Bibliographical note
Rose publication type: Conference contributionSponsorship: 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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