Evaluation of adaptation methods for multi-view video

Multi-view video (MVV) is the next step in the evaluation of 3DTV. Using IP networks as the transport medium seems to be the most promising solution because MVV has flexible bitrate requirements that can change based on the number of views requested from the receiver. With the advanced streaming technologies like scalable video coding, the capability of video services over IP has been greatly enhanced. However, a successful MVV delivery service cannot be achieved without properly addressing the perceived quality of experience (QoE) of MVV. QoE is an important issue especially in adaptive video streaming in which the quality of the content varies to match the available channel capacity. This study evaluates the effect of different scaling methods some of which are unique to MVV and propose a novel systematic adaptation strategy in order to deliver the best QoE under diverse network conditions. Extensive subjective tests are conducted to compare different scaling methods on MVV by using high definition contents.