Review Papers | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014
An Automatic Approach Towards Coloring Videos Using Monochrome Texture Descriptor & Parallel Processing
Gauri R. Joshi, Mayur S. Burange
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.
Keywords: Gabor feature space, parallel optimization, user strokes, video colorization
Edition: Volume 3 Issue 11, November 2014
Pages: 1420 - 1423
How to Cite this Article?
Gauri R. Joshi, Mayur S. Burange, "An Automatic Approach Towards Coloring Videos Using Monochrome Texture Descriptor & Parallel Processing", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT141187, Volume 3 Issue 11, November 2014, 1420 - 1423
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