Details

Autor(en) / Beteiligte

• Sohel, F.A.
• Karmakar, G.C.
• Dooley, L.S.

Titel

Image-dependent spatial shape-error concealment

Ist Teil von

• 2008 9th International Conference on Signal Processing, 2008, p.753-756

Ort / Verlag

IEEE

Erscheinungsjahr

2008

Quelle

IEEE Xplore Digital Library

Beschreibungen/Notizen

• Existing spatial shape-error concealment techniques are broadly based upon either parametric curves that exploit geometric information concerning a shapepsilas contour or object shape statistics using a combination of Markov random fields and maximum a posteriori estimation. Both categories are to some extent, able to mask errors caused by information loss, provided the shape is considered independently of the image/video. They palpably however, do not afford the best solution in applications where shape is used as metadata to describe image and video content. This paper presents a novel image-dependent spatial shape-error concealment (ISEC) algorithm that uses both image and shape information by employing the established rubber-band contour detecting function, with the novel enhancement of automatically determining the optimal width of the band to achieve superior error concealment. Experimental results qualitatively and numerically corroborate the enhanced performance of the new ISEC strategy compared with established shape-based concealment techniques.