IVSS Integration of Color Feature Extraction Techniques for Intelligent Video Search Systems
This addresses the need for more effective video search systems in the internet era, but it appears incremental as it builds on existing color feature techniques without introducing a new paradigm.
The paper tackles the problem of searching videos based on visual content rather than keywords by proposing a system that uses color feature extraction to find relevant videos in response to user queries, but no concrete results or numbers are provided.
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.