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It is well-known that in stereoscopic 3D video systems humans perceive good quality 3D video as long as one of the eyes sees a high quality view. Hence, in stereo video encoding/streaming, best rate allocation between views can be addressed by reduction of the spatial resolution, frame rate, and/or quantization parameter of the second view with respect to(More)
We propose a new adaptive streaming model that utilizes DCCP in order to efficiently stream multi-view video over the Internet for 3DTV transport. The model effectively allocates the available channel bandwidth, which is calculated by DCCP, among the views. The video rate is adapted to the DCCP rate for each group of pictures (GoP) by adaptive extraction of(More)
Internet video streaming is a widely popular application however, in many cases, congestion control facilities are not well integrated into such applications. In order to be fair to other users that do not stream video, rate adaptation should be performed to respond to congestion. On the other hand, the effect of rate adaptation on the viewer should be(More)
We focus on the question of how we can select the best multiple reference pictures for enhanced H.264 video encoding by a fast, computationally efficient method. We propose a simple histogram-similarity based method for selecting the best set of multiple reference pictures. Out-of-order coding of these frames is implemented by means of pyramid encoding.(More)
H.264/AVC is a recently completed video compression standard jointly developed by ITU-T VCEG and ISO/IEC MPEG standards committees. The standard is becoming more popular as it promises much higher compression than that possible with earlier standards. The standard provides flexibilities in coding and organization of data which enable efficient error(More)