IVSS Integration of Color Feature Extraction Techniques for Intelligent Video Search Systems

TL;DR

This paper proposes an integrated system that enhances video search capabilities by utilizing color feature extraction techniques to retrieve relevant videos based on visual content, addressing limitations of keyword-based search engines.

Contribution

It introduces a novel approach combining multiple color feature extraction techniques for improved visual video search relevance.

Findings

Effective retrieval of videos based on color features

Improved accuracy over traditional keyword-based search methods

Potential for real-time video search applications

Abstract

As large amount of visual Information is available on web in form of images, graphics, animations and videos, so it is important in internet era to have an effective video search system. As there are number of video search engine (blinkx, Videosurf, Google, YouTube, etc.) which search for relevant videos based on user keyword or term, But very less commercial video search engine are available which search videos based on visual image/clip/video. In this paper we are recommending a system that will search for relevant video using color feature of video in response of user Query.