Content adaptive downsampling for low bitrate video coding
Video compression plays an essential role in many multimedia applications, and compression efficiency is highly related to video content. In this paper, based on video content characteristics, we propose a content adaptive downsampling scheme to improve video coding efficiency at a low bitrate. Spec...
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| Veröffentlicht in: | Multimedia tools and applications 2024-03, Vol.83 (9), p.26547-26563 |
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| container_title | Multimedia tools and applications |
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| creator | Qin, Siqain Yang, Chao An, Ping |
| description | Video compression plays an essential role in many multimedia applications, and compression efficiency is highly related to video content. In this paper, based on video content characteristics, we propose a content adaptive downsampling scheme to improve video coding efficiency at a low bitrate. Specifically, we extract content-aware spatial-temporal features including normalized Spatial Information (SI), normalized Temporal Information (TI), and spatial masking as the perceptual features. Then, Support Vector Machine (SVM) is adopted to predict the optimal coding configuration for the video,
i.e.
, direct encoding or downsample encoding. Experimental results show that the proposed method achieves considerable bitrate savings for video sequences at different resolutions with low computational complexity. |
| doi_str_mv | 10.1007/s11042-023-16532-1 |
| format | Article |
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i.e.
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| ispartof | Multimedia tools and applications, 2024-03, Vol.83 (9), p.26547-26563 |
| issn | 1573-7721 1380-7501 1573-7721 |
| language | eng |
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| subjects | Accuracy Coding Coding standards Computer Communication Networks Computer Science Data Structures and Information Theory Efficiency Multimedia Multimedia Information Systems Optimization Quality standards Spatial data Special Purpose and Application-Based Systems Support vector machines Video compression |
| title | Content adaptive downsampling for low bitrate video coding |
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