Recent Trends and Research Issues in Video Association Mining

TL;DR

This paper reviews recent developments and research challenges in video association mining, highlighting its growing importance across various domains and providing a general framework for extracting association rules from video databases.

Contribution

It offers a comprehensive overview of research issues and recent trends in video association mining, proposing a general framework for the field.

Findings

Growing application of association rule mining in diverse video domains

Identification of key research issues in video association mining

Overview of recent trends in the field

Abstract

With the ever-growing digital libraries and video databases, it is increasingly important to understand and mine the knowledge from video database automatically. Discovering association rules between items in a large video database plays a considerable role in the video data mining research areas. Based on the research and development in the past years, application of association rule mining is growing in different domains such as surveillance, meetings, broadcast news, sports, archives, movies, medical data, as well as personal and online media collections. The purpose of this paper is to provide general framework of mining the association rules from video database. This article is also represents the research issues in video association mining followed by the recent trends.