Distributed Video Coding using Local Rank Transform
| Autor: | Jayanta Mukherjee, Kallol Mallick |
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| Rok vydání: | 2014 |
| Předmět: |
Theoretical computer science
Computer engineering Computer science Application domain Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Codec Data_CODINGANDINFORMATIONTHEORY Iterative reconstruction Low-density parity-check code Correspondence problem Encoder Coding (social sciences) |
| Zdroj: | ICVGIP |
| Popis: | In today's world, with advanced technology and easily available portable gadgets as enabler, video has become an important medium of communication. While, the standard H.264/AVC has produced extremely good results, it has not been suitable for this application domain as it is computationally intensive and unsuitable for low-power resources. In distributed video coding (DVC), an encoder requires less computation than the decoder, which usually runs at sites of higher computational resources. Our approach is to find out a novel approach in DVC, to reduce encoder complexity, using local rank transform (LRT). LRT relies on the relative ordering of local intensity values for application on visual correspondence problem. Use of LRT in DVC, to the best of our knowledge, has not been reported in literature before. First, we have developed techniques for image reconstruction using LRT and then design a DVC codec using it. We show analytically and by experimental results, that, in power-rate-distortion model, LRT encoder outperforms standard encoder (LDPCA in Stanford architecture) specially in low bit rate condition. |
| Databáze: | OpenAIRE |
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