کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6938600 | 869649 | 2015 | 33 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Incremental low-rank and sparse decomposition for compressing videos captured by fixed cameras
ترجمه فارسی عنوان
تجزیه و تحلیل ضعیف و کم و ضعیف برای فشرده سازی فیلم های ضبط شده توسط دوربین های ثابت
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Videos captured by stationary cameras are usually with a static or gradually changed background. Existing schemes are not able to globally exploit the strong background temporal redundancy. In this paper, motivated by the recent advance on low-rank and sparse decomposition (LRSD), we propose to apply it for the compression of videos captured by fixed cameras. In particular, the LRSD is employed to decompose the input video into the low-rank component, representing the background, and the sparse component, representing the moving objects, which are encoded by different methods. Moreover, we further propose an incremental LRSD (ILRSD) algorithm to reduce the large memory requirement and high computational complexity of the existing LRSD algorithm, which facilitates the process of large-scale video sequences without much performance loss. Experimental results show that the proposed coding scheme can significantly improve the existing standard codecs, H.264/AVC and HEVC, and outperform the state-of-the-art background modeling based coding schemes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 26, January 2015, Pages 338-348
Journal: Journal of Visual Communication and Image Representation - Volume 26, January 2015, Pages 338-348
نویسندگان
Chongyu Chen, Jianfei Cai, Weisi Lin, Guangming Shi,