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A Fast and Performance-Maintained Transcoding Method based on Background Modeling for Surveillance Video

Published on Sep 18, 20122522 Views

Xianguo Zhang

Low-complexity and high-performance surveillance video transcoding methods play an important role for a wide range of surveillance video transmission and storage applications. Towards this end, the

ICME 2012 - Melbourne

Related categories

Computer VisionMultimediaComputer Science

Chapter list

A Fast and Performance-Maintained Transcoding Method based on Background Modeling for Surveillance Video00:00
From Sydney, to Beijing and then London, safety and security is always one of main concerns for each Olympics00:14
Huge amount of surveillance video data00:24
Surveillance video data increases extremely faster than the compression efficiency01:05
How to guarantee the transcoding quality and speed? (1)01:38
How to guarantee the transcoding quality and speed? (2)01:52
How to guarantee the transcoding quality and speed? (3)02:10
Challenges in separately transcoding the background and foreground02:36
How to handle these challenges in object-oriented coding?03:04
Hybrid block-based transcoding with background model03:37
High-Efficient Transcoding: Background Model as the Reference04:19
High-Efficient Transcoding: Optimal Background Model (1)04:48
High-Efficient Transcoding: Optimal Background Model (2)05:04
High-Efficient Transcoding: Optimal Background Model (3)05:12
High-Efficient Transcoding: Theoretical Analysis: Why the OB is best? (1)05:21
High-Efficient Transcoding: Theoretical Analysis: Why the OB is best? (2)06:24
High-Efficient Transcoding: Theoretical Analysis: Why the OB is best? (3)07:09
High-Efficient Transcoding: Low-Complexity Background Modeling07:36
High-Efficient Transcoding: Background Model Update07:44
Fast Transcoding: MB Classification Based Algorithms07:47
Fast Transcoding Algorithm 1: Reference Frame Selection08:22
Fast Transcoding Algorithm 2: Adaptive Motion Search Range Calculation (1)09:00
Fast Transcoding Algorithm 2: Adaptive Motion Search Range Calculation (2)09:50
Fast Transcoding Algorithm 3: Mode Decision Refinement09:56
System Framework10:30
Experiments10:52
Experimental Setup11:16
Experimental Results (1)11:36
Experimental Results (2)11:57
Experimental Results (3)12:11
DEMO12:27
Conclusion (1)12:59
Conclusion (2)13:48
Thank you!14:42