Video colorization using parallel optimization in feature space
Publication in refereed journal

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其它資訊
摘要We present a new scheme for video colorization using optimization in rotation-aware Gabor feature space. Most current methods of video colorization incur temporal artifacts and prohibitive processing costs, while this approach is designed in a spatiotemporal manner to preserve temporal coherence. The parallel implementation on graphics hardware is also facilitated to achieve realtime performance of color optimization. By adaptively clustering video frames and extending Gabor filtering to optical flow computation, we can achieve real-time color propagation within and between frames. Temporal coherence is further refined through user scribbles in video frames. The experimental results demonstrate that our proposed approach is efficient in producing high-quality colorized videos. © 1991-2012 IEEE.
著者Sheng B., Sun H., Magnor M., Li P.
期刊名稱IEEE Transactions on Circuits and Systems for Video Technology
詳細描述To ORKTS: Other Keyword:
4. video colorization
出版年份2014
月份1
日期1
卷號24
期次3
出版社Institute of Electrical and Electronics Engineers
出版地United States
頁次407 - 417
國際標準期刊號1051-8215
電子國際標準期刊號1558-2205
語言英式英語
關鍵詞Gabor feature space, parallel optimization, user strokes, video colorization

上次更新時間 2021-27-01 於 01:15