Scene retrieval with sign sequence matching based on video and audio features

This work presents a method of retrieving similar scenes from video streams with sign sequence matching. The visual and auditory streams are partitioned into fixed-length video/audio packets. Based on feature vectors extracted from these packets, sign sequences are formed. The sign sequence can be viewed as abstraction of video and audio features. DP matching between the target and query sign sequences allows us to find scenes similar to the query in the video stream. For the purpose of efficient processing, packets, histogram based features, and sign sequences, which are the key ideas in this method, are introduced. The preliminary experimental results show that this method is promising for quick retrieval for similar scenes.