Abstract
Error concealment (EC) is one of the target applications of
inpainting techniques. Some methods combine the estimated
lost motion vectors (MVs) with the exemplar-based inpainting technique to recover the lost regions. Due to the erroneous
motion vectors that might indicate a moving object as background object and vice versa, these methods are still showing visual artifacts in the recovered regions. In this paper, a
concept of motion map that can be easily generated in the decoder side is introduced and it is combined with the exemplarbased inpainting technique. The proposed method introduces an adaptive search window size that trades-off the quality and complexity. Moreover, an optional blending technique is proposed to limit the spatio-temporal artifacts. Experiments
show that the proposed method improves the visual quality
with 5dB on average relative to the state-of-the-art inpaintingbased EC method.
inpainting techniques. Some methods combine the estimated
lost motion vectors (MVs) with the exemplar-based inpainting technique to recover the lost regions. Due to the erroneous
motion vectors that might indicate a moving object as background object and vice versa, these methods are still showing visual artifacts in the recovered regions. In this paper, a
concept of motion map that can be easily generated in the decoder side is introduced and it is combined with the exemplarbased inpainting technique. The proposed method introduces an adaptive search window size that trades-off the quality and complexity. Moreover, an optional blending technique is proposed to limit the spatio-temporal artifacts. Experiments
show that the proposed method improves the visual quality
with 5dB on average relative to the state-of-the-art inpaintingbased EC method.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1632-1636 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509041176 |
| ISBN (Print) | 9781509041183 |
| DOIs | |
| Publication status | E-pub ahead of print - 19 Jun 2017 |
Publication series
| Name | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2379-190X |