
en
0.25
0.5
0.75
1.25
1.5
1.75
2
Scalable Video Compression
Published on 2012-09-183654 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
Related categories
Presentation
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