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Adaptive spatial wavelets for motion-compensated orthogonal video transforms
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101). KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7807-5681
2009 (English)In: 2009 16th IEEE International Conference on Image Processing (ICIP), IEEE , 2009, 1045-1048 p.Conference paper (Refereed)
Abstract [en]

This paper discusses adaptive spatial wavelets for the class of motion-compensated orthogonal video transforms. Motion-compensated orthogonal transforms (MCOT) are temporal transforms for video sequences that maintain orthonormality while permitting flexible motion compensation. Orthogonality is maintained for arbitrary integer-pixel or sub-pixel motion compensation by cascading a sequence of incremental orthogonal transforms and updating so-called scale counters for each pixel. The energy of the input pictures is accumulated in a temporal low-band while the temporal high-bands are zero if the input pictures are identical after motion compensation. For efficient coding, the temporal subbands should be further spatially decomposed to exploit the spatial correlation within each temporal subband. In this paper, we discuss adaptive spatial wavelets that maintain the orthogonal representation of the temporal transforms. Similar to the temporal transforms, they update scale counters for efficient energy concentration. The type-1 adaptive wavelet is a Haar-like wavelet. The type-2 considers three pixels at a time and achieves better energy compaction than the type-1.

Place, publisher, year, edition, pages
IEEE , 2009. 1045-1048 p.
, International Conference on Image Processing. Proceedings, ISSN 1522-4880
Keyword [en]
Adaptive wavelet, orthogonal transform, motion-compensated orthogonal video transform, video processing, video coding
National Category
Computer Science Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-29633DOI: 10.1109/ICIP.2009.5413733ISI: 000280464300261ScopusID: 2-s2.0-77951941501ISBN: 978-1-4244-5653-6OAI: diva2:398960
2009 IEEE International Conference on Image Processing, ICIP 2009; Cairo; Egypt; 7 November 2009 through 12 November 2009

QC 20110221

Available from: 2011-02-21 Created: 2011-02-11 Last updated: 2014-09-26Bibliographically approved

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Flierl, Markus
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