Spatiotemporal Compressed Sensing for Video Compression

被引:0
作者
Xiong, Tao [1 ]
Rattray, John [1 ]
Zhang, Jie [2 ]
Thakur, Chetan Singh [1 ]
Chin, Sang Peter [1 ,3 ]
Tran, Trac D. [1 ]
Etienne-Cummings, Ralph [1 ]
机构
[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
[2] MIT, Dept Brain & Cognit Sci, E25-618, Cambridge, MA 02139 USA
[3] Boston Univ, Dept Comp Sci, 111 Cummington St, Boston, MA 02215 USA
来源
2017 IEEE 60TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2017年
关键词
WISE CODED EXPOSURE; CMOS; TIME;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present a hardware-friendly spatiotemporal compressed sensing framework for video compression. The spatiotemporal compressed sensing incorporates random sampling in both spatial and temporal domain to encode the video scene into a single coded image. During decoding, the video is reconstructed using dictionary learning and sparse recovery. The evaluation results demonstrate the proposed approach can achieve high compression rate ( 10 : 1 - 30 : 1) and robustness reconstruction quality (> 20dB) on noisy database. Additionally, it also enables power efficient and real-time CMOS implementation (0.7 nJ/pixel).
引用
收藏
页码:289 / 292
页数:4
相关论文
共 16 条
[1]   K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation [J].
Aharon, Michal ;
Elad, Michael ;
Bruckstein, Alfred .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (11) :4311-4322
[2]   A shared neural ensemble links distinct contextual memories encoded close in time [J].
Cai, Denise J. ;
Aharoni, Daniel ;
Shuman, Tristan ;
Shobe, Justin ;
Biane, Jeremy ;
Song, Weilin ;
Wei, Brandon ;
Veshkini, Michael ;
La-Vu, Mimi ;
Lou, Jerry ;
Flores, Sergio E. ;
Kim, Isaac ;
Sano, Yoshitake ;
Zhou, Miou ;
Baumgaertel, Karsten ;
Lavi, Ayal ;
Kamata, Masakazu ;
Tuszynski, Mark ;
Mayford, Mark ;
Golshani, Peyman ;
Silva, Alcino J. .
NATURE, 2016, 534 (7605) :115-+
[3]   Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information [J].
Candès, EJ ;
Romberg, J ;
Tao, T .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :489-509
[4]  
Dollár P, 2009, PROC CVPR IEEE, P304, DOI 10.1109/CVPRW.2009.5206631
[5]   Compressed sensing [J].
Donoho, DL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) :1289-1306
[6]  
Hitomi Y, 2011, IEEE I CONF COMP VIS, P287, DOI 10.1109/ICCV.2011.6126254
[7]   A 0.5 nJ/Pixel 4 K H.265/HEVC Codec LSI for Multi-Format Smartphone Applications [J].
Ju, Chi-Cheng ;
Liu, Tsu-Ming ;
Lee, Kun-Bin ;
Chang, Yung-Chang ;
Chou, Han-Liang ;
Wang, Chih-Ming ;
Wu, Tung-Hsing ;
Lin, Hue-Min ;
Huang, Yi-Hsin ;
Cheng, Chia-Yun ;
Lin, Ting-An ;
Chen, Chun-Chia ;
Lin, Yu-Kun ;
Chiu, Min-Hao ;
Li, Wei-Cing ;
Wang, Sheng-Jen ;
Lai, Yen-Chieh ;
Chao, Ping ;
Chien, Chih-Da ;
Hu, Meng-Jye ;
Wang, Peng-Hao ;
Huang, Yen-Chao ;
Chuang, Shun-Hsiang ;
Chen, Lien-Fei ;
Lin, Hsiu-Yi ;
Wu, Ming-Long ;
Chen, Che-Hong .
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2016, 51 (01) :56-67
[8]   High spatio-temporal resolution video with compressed sensing [J].
Koller, Roman ;
Schmid, Lukas ;
Matsuda, Nathan ;
Niederberger, Thomas ;
Spinoulas, Leonidas ;
Cossairt, Oliver ;
Schuster, Guido ;
Katsaggelos, Aggelos K. .
OPTICS EXPRESS, 2015, 23 (12) :15992-16007
[9]   Efficient Space-Time Sampling with Pixel-Wise Coded Exposure for High-Speed Imaging [J].
Liu, Dengyu ;
Gu, Jinwei ;
Hitomi, Yasunobu ;
Gupta, Mohit ;
Mitsunaga, Tomoo ;
Nayar, Shree K. .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2014, 36 (02) :248-260
[10]   Temporal Compressive Sensing for Video [J].
Llull, Patrick ;
Yuan, Xin ;
Liao, Xuejun ;
Yang, Jianbo ;
Kittle, David ;
Carin, Lawrence ;
Sapiro, Guillermo ;
Brady, David J. .
COMPRESSED SENSING AND ITS APPLICATIONS, 2015, :41-74