Optimal reference view selection algorithm for low complexity disparity estimation
| Autor: | Jinsang Kim, Minsu Choi, Ik Joon Chang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Reference view
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Coding tree unit Low complexity Redundancy (information theory) 0202 electrical engineering electronic engineering information engineering Media Technology Redundancy (engineering) 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering Multiview Video Coding business Selection algorithm Algorithm |
| Zdroj: | IEEE Transactions on Consumer Electronics. 62:45-52 |
| ISSN: | 0098-3063 |
| DOI: | 10.1109/tce.2016.7448562 |
| Popis: | Multi-view video coding (MVC) is composed of multiple video sequences captured simultaneously by multiple closely spaced cameras. Such a system demands a higher computational complexity due to the increased number of cameras. Disparity estimation (DE) is one of the compression techniques used to remove inter-view redundancy in MVC, which causes high complexity. In order to overcome the problem of high computational complexity in real-time MVC, an optimal reference view selection algorithm is proposed. The proposed scheme decreases the coding complexity by reducing one-directional DE operation and minimizing the decrease in coding performance in MVC. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|