A Joint Compression Scheme of Video Feature Descriptors and Visual Content
A Joint Compression Scheme of Video Feature Descriptors and Visual Content
复制标题
视频特征描述符和视觉内容的联合压缩方案
DOI:
10.1109/tip.2016.2629447
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发表时间:
2017-02
影响因子:
10.6
通讯作者:
Gao Wen
中科院分区:
文献类型:
--
作者:
Zhang Xiang;Ma Siwei;Wang Shiqi;Zhang Xinfeng;Sun Huifang;Gao Wen
High-efficiency compression of visual feature descriptors has recently emerged as an active topic due to the rapidly increasing demand in mobile visual retrieval over bandwidth-limited networks. However, transmitting only those feature descriptors may largely restrict its application scale due to the lack of necessary visual content. To facilitate the wide spread of feature descriptors, a hybrid framework of jointly compressing the feature descriptors and visual content is highly desirable. In this paper, such a content-plus-feature coding scheme is investigated, aiming to shape the next generation of video compression system toward visual retrieval, where the high-efficiency coding of both feature descriptors and visual content can be achieved by exploiting the interactions between each other. On the one hand, visual feature descriptors can achieve compact and efficient representation by taking advantages of the structure and motion information in the compressed video stream. To optimize the retrieval performance, a novel rate-accuracy optimization technique is proposed to accurately estimate the retrieval performance degradation in feature coding. On the other hand, the already compressed feature data can be utilized to further improve the video coding efficiency by applying feature matching-based affine motion compensation. Extensive simulations have shown that the proposed joint compression framework can offer significant bitrate reduction in representing both feature descriptors and video frames, while simultaneously maintaining the state-of-the-art visual retrieval performance.
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DOI:
10.1109/pcs.2015.7170096
发表时间:
2015-07
期刊:
2015 Picture Coding Symposium (PCS)
影响因子:
--
作者:
Xianguo Zhang;Shiqi Wang;Siwei Ma;Wen Gao
通讯作者:
Xianguo Zhang;Shiqi Wang;Siwei Ma;Wen Gao
DOI:
10.1109/tip.83
发表时间:
2004
期刊:
--
影响因子:
--
作者:
通讯作者:
--
DOI:
10.1109/icmew.2015.7169778
发表时间:
2015-07
期刊:
2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
影响因子:
--
作者:
Xianguo Zhang;Shiqi Wang;Shanshe Wang;Siwei Ma;Wen Gao
通讯作者:
Xianguo Zhang;Shiqi Wang;Shanshe Wang;Siwei Ma;Wen Gao
影响因子:
10.6
作者:
Wang, Zhe;Huang, Tiejun;Girod, Bernd;Gao, Wen
通讯作者:
Gao, Wen
影响因子:
10.6
作者:
Mina Makar;V. Chandrasekhar;Sam S. Tsai;David M. Chen;B. Girod
通讯作者:
Mina Makar;V. Chandrasekhar;Sam S. Tsai;David M. Chen;B. Girod