2008 IEEE International Conference on Multimedia and Expo 2008
DOI: 10.1109/icme.2008.4607477
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Frame concealment algorithm for stereoscopic video using motion vector sharing

Abstract: Stereoscopic video is one of the simplest forms of multi view video, which can be easily adapted for communication applications. Much current research is based on colour and depth map stereoscopic video, due to its reduced bandwidth requirements and backward compatibility. Existing immersive media research is more focused on application processing than aspects related to transfer of immersive content over communication channels. As video over packet networks is affected by missing frames, caused by packet loss… Show more

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Cited by 38 publications
(25 citation statements)
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“…For frame losses in stereo plus depth format, Chung, Sull and Kim [13] use a 3D image warping technique to determine matching pixels between neighbouring views and do the reconstruction based on the similarities of the motion vectors and the intensity differences of matching pixels. Hewage et al [14] propose to share motion vectors between the texture and depth videos if a frame from either of them is lost. This method might not be very efficient when a frame contains objects with different textures placed at the same depth.…”
Section: Related Workmentioning
confidence: 99%
“…For frame losses in stereo plus depth format, Chung, Sull and Kim [13] use a 3D image warping technique to determine matching pixels between neighbouring views and do the reconstruction based on the similarities of the motion vectors and the intensity differences of matching pixels. Hewage et al [14] propose to share motion vectors between the texture and depth videos if a frame from either of them is lost. This method might not be very efficient when a frame contains objects with different textures placed at the same depth.…”
Section: Related Workmentioning
confidence: 99%
“…여기에서는 오른쪽 뷰 보다 왼 쪽 뷰에 더 높은 우선순위를 매김으로써 UEP 방식을 적용하였다. 아울러 칼라와 깊이 맵 사이의 모션 상관 값을 이용하여 UEP를 실현하는 방법도 제안되었다 [12] . 차원 요소 영상을 기록한다 [3] .…”
Section: 집적 영상 기법에서는unclassified
“…For frame losses in stereo plus depth format, Chung, Sull and Kim [99] use 3D image warping technique to determine matching pixels between neighbouring views and perform the reconstruction based on the similarities of the motion vectors and the intensity differences of matching pixels. Hewage et al [39] proposes to share motion vectors between the texture and depth videos in case a frame from either of them is lost. This method might not be very efficient when a frame contains objects with different textures placed at the same depth.…”
Section: Temporal and Inter-view Consistent Error Concealment Techniquementioning
confidence: 99%
“…The first candidate, M B r 1 , is built by using the motion vectors (MVs) of the collocated MB in the corresponding depth frame D v,t as in [39]. This method is named as Depth Motion Vector Sharing (DMS) (See Fig.…”
Section: Candidate Mbs For Reconstructionmentioning
confidence: 99%
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