Computer Vision News - June 2016

Every month, Computer Vision News reviews a successful project. Our main purpose is to show how diverse image processing applications can be and how the different techniques can help to solve technical challenges and physical difficulties. This month we review a Video Classification software developed by RSIP Vision’s engineers to enhance road security. Do you have a project in computer vision and image processing? Contact our consultants . Background One of the most interesting challenges in video classification is how to determine the content of a video , especially when the uploader did not define any video tags. The need for assessing the content stems from the advertisers’ desire to target specific audiences based on the content of the videos they watch. By securing a proper classification to all the items in their catalog, video- sharing platforms like YouTube, Dailymotion, Vimeo and many others can offer better targeted advertising to both clients and viewers. For example, a manufacturer of running shoes will prefer to place ads around sports videos and the like. Most videos focusing on great sporting events like the Super Bowl or the NBA games are correctly tagged, but are generally too expensive for most advertisers. Those are more attracted by other relevant videos, containing various kinds of sports (even amateur) and which are often untagged. This area of video classification is a very hot topic and RSIP Vision’s engineers have developed software for one of the projects completed in this area. Solution The main idea is to train the system to recognize such a video when it is uploaded . One simple option is to detect specific features in the image, which can be done by a SIFT ( Scale- Invariant Feature Transform) algorithm or similar, before creating visual statistics of these features. One known technique to do this is BoVW (Bag of Visual Words) : this algorithm springs from a well-known representation method called BoW (Bag of Words) , often used in natural language processing and information 30 Computer Vision News Project Video Classification