This paper concerns two fundamental issues in video shots retrieval: key frame identification and similarity measurement between the key frames.

Abstract—This paper concerns two fundamental issues in video shots retrieval: key frame identification and similarity measurement between the key frames.

A simple key frame extraction algorithm based on optical flow is proposed that outperforms existing ones in retrieving sport video shots and a new model is ...

Abstract—This paper concerns two fundamental issues in video shots retrieval: key frame identification and similarity measurement between the key frames.

Similarly, queries like “search for a head-on col- lision involving a car and a van” cannot be answered by in- dexing techniques based on color histograms.

This document proposes a method for indexing and matching video shots based on motion and color analysis. Key frames are extracted from each shot using optical ...

Video indexing is a central component necessary to facilitate efficient content-based retrieval and browsing of visual information stored in large ...

reserved for ( motion vector only. 3.3 Feature Matching. Let dCij, dTij, dM, denote the distances between two video shots i and j of color, texture and motion.

In this paper we present a method for video shot boundary detection based on color histogram differences. The technique is able to differentiate abrupt shot ...

How to achieve the goal of automatically classifyin g video shots by their content is still an issue under deba te. In this paper we present a novel set of ...