A new Approach to Judgments on Video Applications for Required Contents

摘要

Searching desired videos is now challenging due to scattered collection of huge amount of videos all over the world. It is very difficult to find appropriate different video applications for different video contents required by different users from repositories. Traditionally, the selection is based on user's common sense or expert recommends, however different users have different choices and different experts have different recommendations, and only some of the judgments are luckily appropriate, and when the judgments are mistake, the video content required by different users will not be fully met by the selected video application, which will decrease the video service quality and will waste the video resources for not being fully utilized. This paper contributes prioritizing videos by using Analytical Hierarchical Process (AHP) for selecting and ranking particular video. In this research a simple case study presented over some classification of videos where particular object/person need to be identified. It has been shown that best appropriate for selecting particular object/persons from video database is shot-Stock videos, and then is document, research, I-Video, VOD one by one.