Fast second screen TV synchronization combining audio fingerprint technique and generalized cross correlation

For the implementation of emerging second screen TV applications, there is a need for a technique to assure fast and accurate synchronization of media components streamed over different networks to different rendering devices. One approach of great value is to exploit the unmodified audio stream of the original media, and compare it to a reference version. We consider two major approaches for this purpose, namely finger-printing techniques and generalized cross correlation, where the former can greatly reduce computational cost and the latter can offer sample-accurate synchronization. We propose an approach combining these two techniques where coarse frame-accurate synchronization positions are first found by fingerprint matching, then a possible accurate synchronization position is verified by generalized cross correlation with phase transform (GCC-PHAT). Experimental results in a real-world setting confirm the accuracy and rapidity of the proposed approach.