Depth based object prioritisation for 3D video communication over Wireless LAN

Abstract

This paper presents a content prioritization technique for perceptually enhanced communication of 3D video data over wireless Local Area Network. The prioritisation is performed on the basis of a novel segmentation technique, which utilizes the depth information of 3D content for separating individual objects of the sequence. These objects are then encoded and transmitted separately under different protection levels depending on their perceived importance for perceptual visual quality. The algorithm performance is demonstrated for object based MPEG-4 video transmission over home network and is compared with a basic prioritisation scheme based on splitting a sequence into even and odd frames and encoding them separately with equivalent prioritization as in the proposed scheme. The results demonstrate significant improvement in subjective quality with the proposed scheme.

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