| 書目名稱 | Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression |
| 編輯 | Dominic Rüfenacht |
| 視頻video | http://file.papertrans.cn/669/668429/668429.mp4 |
| 概述 | Explores motion anchoring strategies for video compression systems, which represent a shift from a “prediction-centric” point of view to a “physical” representation of the underlying motion of the sce |
| 叢書名稱 | Springer Theses |
| 圖書封面 |  |
| 描述 | .A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction. In this book, a novel paradigm of representing and employing motion information in a video compression system is described that has several advantages over existing approaches. Traditionally, motion is estimated, modelled, and coded as a vector field at the target frame it predicts. While this “prediction-centric” approach is convenient, the fact that the motion is “attached” to a specific target frame implies that it cannot easily be re-purposed to predict or synthesize other frames, which severely hampers temporal scalability.?.In light of this, the present book explores the possibility of anchoring motion at reference frames instead. Key to the success of the proposed “reference-based” anchoring schemes is high quality motion inference, which is enabled by the use of a more “physical” motion representation than the traditionally employed “block” motion fields. The resulting compression system can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. Furthermore |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | Wavelet-based Highly Scalable Video Compression (WSVC); Temporal Frame Interpolation (TFI); Bidirectio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-8225-2 |
| isbn_softcover | 978-981-13-4097-0 |
| isbn_ebook | 978-981-10-8225-2Series ISSN 2190-5053 Series E-ISSN 2190-5061 |
| issn_series | 2190-5053 |
| copyright | Springer Nature Singapore Pte Ltd. 2018 |
|Archiver|手機版|小黑屋|
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