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To enable Interactive multiview video systems with a minimum view-switchingdelay, multiple camera views are sent to the users, which are used as referenceimages to synthesize additional virtual views via depth-image-based rendering.In practice, bandwidth constraints may however restrict the number of referenceviews sent to clients per time unit, which may in turn limit the quality of thesynthesized viewpoints. We argue that the reference view selection shouldideally be performed close to the users, and we study the problem of in-networkreference view synthesis such that the navigation quality is maximized at theclients. We consider a distributed cloud network architecture where data storedin a main cloud is delivered to end users with the help of cloudlets, i.e.,resource-rich proxies close to the users. In order to satisfy last-hopbandwidth constraints from the cloudlet to the users, a cloudlet re-samplesviewpoints of the 3D scene into a discrete set of views (combination ofreceived camera views and virtual views synthesized) to be used as referencefor the synthesis of additional virtual views at the client. This in-networksynthesis leads to better viewpoint sampling given a bandwidth constraintcompared to simple selection of camera views, but it may however carry adistortion penalty in the cloudlet-synthesized reference views. We thereforecast a new reference view selection problem where the best subset of views isdefined as the one minimizing the distortion over a view navigation windowdefined by the user under some transmission bandwidth constraints. We show thatthe view selection problem is NP-hard, and propose an effective polynomial timealgorithm using dynamic programming to solve the optimization problem.Simulation results finally confirm the performance gain offered by virtual viewsynthesis in the network.

In-Network View Synthesis for Interactive Multiview Video Systems