Name
Abstract | ||
|---|---|---|
Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this paper, a novel tone stabilization is proposed to enhance the performance of further applied algorithms like detecting and matching visual features across video frames. The proposed technique utilizes multiple anchor frames as references to smooth tone fluctuation between them. Experimental result shows the improvement of tone consistency as well as feature detection and matching accuracy on car black box videos with varying tone over time. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/APSIPA.2014.7041750 | Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference |
Keywords | Field | DocType |
feature extraction,image colour analysis,image enhancement,image matching,video cameras,video signal processing,car black box video camera,color tone,feature detection,imaging device,multiple anchor frame,smooth tone fluctuation,tone consistency improvement,tone stabilization,video frame,video quality enhancement,visual feature matching | Black box (phreaking),Computer vision,Feature detection,Computer science,Robustness (computer science),Feature extraction,Color balance,Feature matching,Quality enhancement,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2309-9402 | 0 | 0.34 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Simon | 1 | 9 | 2.89 |
| Man Hee Lee | 2 | 77 | 8.18 |
| In Kyu Park | 3 | 316 | 35.97 |