Special Issue Article Open Access

Sequence Alignment Graph Based Matching Technique For Video Copy Detection

Abstract

We propose a sequence alignment based Video copy detection techniques to detect the video copy detection. Image segmentation is the process of partitioning a digital image into multiple segments (set of pixels, also known as pixels).The goal of segmentation is to simplify and change the representation of an image. We use SIFT descriptor method very high dimensional 128 vector. SIFT matching cost is very high. SVD method feature matching and extract the new features frame the set of SIFT feature points. The extracted feature is termed as SVD-SIFT. SVD-SIFT features are used to improve matching speed. SVD-SIFT method can obtained a good trade-offs between detection effect and detection time costs. In this paper we propose sequence alignment techniques used to reduce the matching cost and time.