Near-duplicate Keyframes Detection in News Video Across Different Sources
Detecting near-duplicate keyframes in news video across different sources is an important underlying technology for information analysis and organizing in news video.Currently works are directly using the techniques of image matching.Specialty and requirement of news video analysis are not considered.This paper presents a hierarchical approach for fast and effective identifying near-duplicate keyframes.At first,it detects and prunes local keypoints using DOG function.Then,the first filter builds a entropy measure to identify near-duplicate keyframes candidates.Finally,the credible results are filtered based on symmetry.Experiment results show that this method remarkably improves the matching speed and has high efficiency.