Optimization techniques for H.264/AVC and multi-view video
The objective of this thesis is to develop optimization techniques for H.264/AVC and multi-view video. Five contributions are made in this thesis and summarized in two parts as follows. In Part I, two optimization techniques for the state-of-the-art video coding standard H.264/AVC are presented. Fir...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | http://hdl.handle.net/10356/51137 |
| _version_ | 1811677267116425216 |
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| author | Zeng, Huanqiang |
| author2 | Ma Kai Kuang |
| author_facet | Ma Kai Kuang Zeng, Huanqiang |
| author_sort | Zeng, Huanqiang |
| collection | NTU |
| description | The objective of this thesis is to develop optimization techniques for H.264/AVC and multi-view video. Five contributions are made in this thesis and summarized in two parts as follows. In Part I, two optimization techniques for the state-of-the-art video coding standard H.264/AVC are presented. First, an efficient intra mode decision algorithm for intra prediction in H.264/AVC, called the hierarchical intra mode decision (HIMD), is proposed. In this approach, the candidate modes are selected according to their Hadamard distances and prediction directions. Furthermore, an early-termination decision scheme with adaptive thresholding is incorporated to the proposed algorithm for further speeding up the intra mode decision process. Second, an efficient inter mode decision algorithm for inter prediction in H.264/AVC, called the motion activity-based mode decision (MAMD), is proposed. In this approach, for each macroblock (MB), only those more likely modes are chosen to be checked based on its motion activity, which can be quantitatively measured by the maximum city-block length of the motion vectors taken from a set of adjacent MBs. Experimental results have shown that both the proposed HIMD and MAMD algorithms can significantly reduce the computational complexity, while maintaining almost the same coding efficiency, compared with that of the exhaustive mode decision in the H.264/AVC. |
| first_indexed | 2024-10-01T02:34:39Z |
| format | Thesis |
| id | ntu-10356/51137 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:34:39Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/511372023-07-04T16:22:01Z Optimization techniques for H.264/AVC and multi-view video Zeng, Huanqiang Ma Kai Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The objective of this thesis is to develop optimization techniques for H.264/AVC and multi-view video. Five contributions are made in this thesis and summarized in two parts as follows. In Part I, two optimization techniques for the state-of-the-art video coding standard H.264/AVC are presented. First, an efficient intra mode decision algorithm for intra prediction in H.264/AVC, called the hierarchical intra mode decision (HIMD), is proposed. In this approach, the candidate modes are selected according to their Hadamard distances and prediction directions. Furthermore, an early-termination decision scheme with adaptive thresholding is incorporated to the proposed algorithm for further speeding up the intra mode decision process. Second, an efficient inter mode decision algorithm for inter prediction in H.264/AVC, called the motion activity-based mode decision (MAMD), is proposed. In this approach, for each macroblock (MB), only those more likely modes are chosen to be checked based on its motion activity, which can be quantitatively measured by the maximum city-block length of the motion vectors taken from a set of adjacent MBs. Experimental results have shown that both the proposed HIMD and MAMD algorithms can significantly reduce the computational complexity, while maintaining almost the same coding efficiency, compared with that of the exhaustive mode decision in the H.264/AVC. Doctor of Philosophy (EEE) 2013-02-05T04:39:24Z 2013-02-05T04:39:24Z 2013 2013 Thesis http://hdl.handle.net/10356/51137 en 153 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Zeng, Huanqiang Optimization techniques for H.264/AVC and multi-view video |
| title | Optimization techniques for H.264/AVC and multi-view video |
| title_full | Optimization techniques for H.264/AVC and multi-view video |
| title_fullStr | Optimization techniques for H.264/AVC and multi-view video |
| title_full_unstemmed | Optimization techniques for H.264/AVC and multi-view video |
| title_short | Optimization techniques for H.264/AVC and multi-view video |
| title_sort | optimization techniques for h 264 avc and multi view video |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/51137 |
| work_keys_str_mv | AT zenghuanqiang optimizationtechniquesforh264avcandmultiviewvideo |