Low complexity multi-view video streaming over multipath fading channels

This paper addresses the problem of wireless delivery of a captured scene from multiple cameras, which do not communicate among one other, to a joint decoder. Correlation among different camera views calls for distributed source coding for efficient compression. The fact that the cameras may be placed within a short communication range of each other results in a high level of interference, multipath fading, and noise effects, during transmission. We develop a new two-camera system, where one camera employs H.264 SVC, whereas the other, low-complexity camera codec exploits statistical dependencies between closely-located cameras´ views to jointly perform compression and spreading using Complete Complementary (CC) sequences for protection against interference. This paper proposes a very low complexity scalable coding scheme using fixed integer Discrete Cosine Transform (DCT) and fixed quantizer matrices instead of the 2D DCT. The proposed system is targeted at wireless multi-view video streaming applications, in which the data acquired form different viewing cameras are highly correlated spatially and temporally. Our results indicate that our proposed system is competitive with H264 SVC coded streams.