In this paper, we improve the performance of intra prediction and simplify mode decision procedure at the same time. For these works, we apply a statistical learning method such a...
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
An algorithm for video resolution enhancement is presented. The approach borrows from previous methods for still-image superresolution, introducing modifications better suited for...
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
We extend recent work on rate-distortion optimized streaming of video to include the case when multiple, independently encoded and packetized versions of the video are available f...