Efficient random-access GPU video decoding for light-field rendering.

Compression method for GPU streaming of discrete light fields is proposed in this paper. Views on the scene are encoded with video codec to enable streaming in real time. Instead of using a classic scheme, all frames are encoded according to one reference frame. Any frame is decoded directly, in a random-access manner that is suitable for light-field rendering methods, where only few frames are necessary on the GPU. The proposed scheme reaches the best decoding quality/time ratio in comparison to other schemes, where all preceding frames need to be decompressed, and all-key-frame video that supports random access, but is extremely large. The proposed method solves the space-requirements and streaming-bandwidth issues using the GPU accelerated decoding, and enables incorporating light-field assets in real-time 3D simulations. Compared to existing methods, the proposal is easy to implement, does not depend on specific video format or extension and is efficient on consumer GPUs. [Display omitted] • Real-time streaming method for light field rendering. • Solves light field issues such as excessive memory usage and slow streaming. • GPU-accelerated approach using nowadays actively developed HW decoders. • Ready to be used with upcoming video codecs. • Better than existing methods in speed, quality, implementation, native support. [ABSTRACT FROM AUTHOR]