TempoM2: A Multi Feature Access Method for Temporal Video Search

Abstract

Efficient temporal video search will play an important role in the future related to the vast growth of video data in the Web. Here, index structures are one way to ensure efficient retrieval over a large amount of data. However, index structures targeting on indexing video data are rare. In this context, the paper introduces the TempoM 2 − tree framework, which features a two-level index structure supporting the retrieval of similar video segments in combination with temporal relations.