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Advances in Visual Data Compression and Communication
book

Advances in Visual Data Compression and Communication

by Feng Wu
July 2014
Intermediate to advanced content levelIntermediate to advanced
513 pages
16h 40m
English
Auerbach Publications
Content preview from Advances in Visual Data Compression and Communication
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426 19 Computational Information Theory
19.3 Source Coding
In this section, we first discuss how to efficiently compress the metadata. After that,
we discuss the coding of Cloud image sources and Cloud video sources, respectively.
One more challenging problem is how to compress an input source by using Cloud
sources at the receiver. This is distributed cloud-based coding.
19.3.1 Coding of Metadata
In Shannon’s information theory, the coding of metadata is studied relatively less
than other areas, probably because metadata is easy to compress. However, in com-
putational information theory, there is rich metadata that has to be generated offline
and stored with Cloud sources, including local feature descriptors, source correlation,
scene descriptors, ...
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Publisher Resources

ISBN: 9781482234138