Abstract | ||
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In this paper, a novel data hiding strategy is proposed to integrate disparity data, needed for 3D visualization based on depth image based rendering, into a single H.264 format video bitstream. The proposed method has the potential of being imperceptible and efficient in terms of rate distortion trade-off. Depth information has been embedded in some of quantized transformed coefficients (QTCs) while taking into account the reconstruction loop. This provides us with a high payload for embedding of depth information in the texture data, with a negligible decrease in PSNR. To maintain synchronization, the embedding is carried out while taking into account the correspondence of video frames. Three different benchmark video sequences containing different combinations of motion, texture and objects are used for experimental evaluation of the proposed algorithm. |
Year | DOI | Venue |
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2011 | 10.1109/ICIP.2011.6116245 | Image Processing |
Keywords | Field | DocType |
data encapsulation,image sequences,rendering (computer graphics),synchronisation,video coding,3D H.264 video,data hiding,depth image based rendering,depth map,quantized transformed coefficients,synchronization,texture map,video sequences,3D TV,DIBR,H.264/AVC,data hiding | Computer vision,Synchronization,Embedding,Pattern recognition,Computer science,Visualization,Information hiding,Artificial intelligence,Depth map,Image-based modeling and rendering,Quantization (signal processing),Payload | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4577-1302-6 | 978-1-4577-1302-6 | 1 |
PageRank | References | Authors |
0.35 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zafar Shahid | 1 | 154 | 10.42 |
William Puech | 2 | 535 | 76.74 |