Fine grained loss protection for robust internet video streaming Several embedded video coding schemes have been recently developed for multimedia streaming over IP. In particular, FineGranularScalability (FGS) video coding has been recently adopted by the MPEG4 standard as the corevideocompression method for streaming applications. From its inception, the FGS scalability structure was designed to be packetloss resilient especially under Unequal Packetloss Protection (UPP). In this paper, we introduce the notion of Fine Grained Loss Protection (FGLP), which provides UPP within the FGS enhancementlayer, and we develop an analytical framework for evaluating FGLP bounds. Based on these bounds, we show the impact of applying finegrained protection to the FGS enhancementlayer for different types of video sequences and over a wide range of bitrates and packetloss ratios. Subsequently, the FGLP framework has been implemented using forward error correction codes and its performance for Internet video streaming has been evaluated. As illustrated by our extensive simulation results, finegrained loss protection for the FGS enhancementlayer can provide significant resilience under moderatetohigh packetloss ratios (e.g. 510%).

Coordinated packetlevel protection with a corruption model for robust video transmission In this work, each packet is associated with a varying degree of significance based on the impact of its loss, which is estimated with a corruption model. For a compressed video stream, initial and propagation errors are first described by the macroblock(MB)based corruption model by taking into account error concealment, temporal dependency, and loop filtering. Next, at the packetlevel, a corruption model using the relative priority index (RPI) is constructed by integrating MBbased models. Furthermore, the effect of multiplepacket loss is analyzed and the associated RPI is calculated to improve the model accuracy at a higher packet loss rate. With the RPIbased corruption model for each packet, coordinated delivery of packetized video over QoS networks is investigated. Finally, a perpacket optimization framework with unequal error protection (UEP) is realized to consider both endtoend video performance and pricing. The performance of the proposed solution is verified with intensive simulations.