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We design a video encoding scheme that is suited for applications such as unmanned aerial vehicle (UAV) video surveillance where the encoder complexity needs to be low. Our low complexity encoder predicts frames using the global motion information available in UAVs and thus achieves lower complexity and more than 40% BD-rate savings for fly-over videos compared to a complexity-constrained H.264 encoder...
We provide a theoretical analysis of the performance of differential predictive coding using fixed-lag smoothing of the standard decoder output. This performance is compared to related results for coding using latency at the encoder, and causal encoding with delayed decoding, as well as with some prior theoretical analyses of these methods. Surprisingly, it is shown that fixed-lag smoothing of the...
This paper proposes a cross-layer approach called routing-aware multiple description coding with multipath transport to support video communications over mobile ad-hoc networks. This approach establishes a packet loss model based on the MAC access mechanism and network parameters, and utilizes it along with the routing messages from multipath routing to estimate the packet loss probability of transmitted...
In transform-based compression schemes, the task of choosing, quantizing, and coding the coefficients that best represent a signal is of prime importance. As a step in this direction, Yang and Gibson [1] have designed a coefficient selection scheme based on Campbell's coefficient rate and spectral entropy [2]. Building on their coefficient selection mechanism, we develop a method to allocate bits...
Recently we proposed a cross-layer design to support video communication over error-prone mobile ad-hoc networks. The idea is to utilize routing messages and network parameters to estimate the corrupted frames, and to guide the reference frame selection at the video encoder to mitigate error propagation. In this paper, we focus on the frame corruption estimation method used in the design. We build...
Recently we revisited the classic problem of developing a correlation model for natural videos by proposing a block-based local-texture-dependent correlation coefficient model for natural videos in the original spatial-temporal domain prior to any processing. We used this conditional correlation model to calculate the conditional rate distortion function when universal side information on local texture...
THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD". We revisit the classic problem of developing a spatial correlation model for natural images and videos by proposing a conditional correlation model for relatively nearby pixels that is dependent upon five parameters. The conditioning is on local texture and the optimal parameters can be calculated for a specific image or video with a mean absolute...
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