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Scalable Video Compression

Published on Sep 18, 20123649 Views

Scalable media compression algorithms are desirable because they allow the content to be compressed without prior knowledge of the set of bit‐rates and/or resolutions at which it is to be distribute

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Chapter list

Overview00:00
The Changing Landscape of Video01:50
Scalability – degrees of interest03:49
Accessibility – disjoint subsets of interest04:21
Scalable images – things that work well05:07
JPEG2000 – more than compression (1)06:16
JPEG2000 – more than compression (2)06:37
JPEG2000 – more than compression (3)06:44
JPEG2000 – dimensions of scalability07:11
JPEG2000 – JPIP interactivity (IS15444-9)07:40
What can you do with JPIP?07:58
Scalable video standardization11:50
Temporal scalability in SVC12:42
Spatial scalability in SVC14:10
Coarse grain quality scalability in SVC15:32
Medium grain quality scalability in SVC16:23
SVC Efficiency16:51
Limitations of SVC18:11
Temporal transforms: Why prediction alone is sub-optimal19:45
Reduced noise power through lifting21:16
Motion compensated lifting21:59
Temporal analysis effects23:33
Spatial scalability – 2D+t25:01
Wavelet transforms – critically sampled27:34
Lifted pyramid transforms – for improved quality scalability29:03
Lifted Pyramid transforms – variations29:59
Wavelets with energy exchange – 2D+t31:15
Wavelet energy exchange – variations32:12
Spatial scalability – t+2D33:00
Adaptive Schemes – t+2D vs 2D+t35:25
Aliasing suppression – t+2D36:20
Summary of transform effects37:02
Beyond video37:40
Motion for Scalable Video39:09
Scalable motion – very early results41:28
On the road to better motion42:01
Block-based schemes with merging43:00
Boundary geometry and merging44:25
Indicative Performance45:33
A new approach – currently implemented only for depth maps; very similar to motion maps46:07
Highly scalable depth/motion coding47:21
Field samples & Breakpoint pyramids47:56
Breakpoint adaptive DWT – sequence of non-separable 2D lifting steps49:04
Vertices & Induced Breakpoints (1)49:34
Vertices & Induced Breakpoints (2)49:51
Vertices & Induced Breakpoints (3)50:13
Sub-bands and Arc-bands51:12
Embedded Block Coding – for scalability and ROI accessibility51:40
Indicative performance – depth coding (1)51:55
Indicative performance – depth coding (2)52:23
Indicative performance – depth coding (3)52:28
Scalable coding of sparse data (1)53:04
Scalable coding of sparse data (2)54:07
Related research56:28
Summary57:07
Dependent research directions58:31