Brand Image Detection in Broadcast Video Streams
Ads exist everywhere and all the time of our daily lives. Semantic analysis of ad videos is a challenge task for its creative design and dynamic content. In this paper, we put forward a novel semantic concept - brand image shared by most ad videos, which highlights the product or service and capture the viewers' attention. Some global and local features are extracted from the shot key frames to detect brand image. And supervised SVM classifiers are applied to recognized brand images. Experiments in east broadcast videos and TRECVID 2006 news videos show the promise of the proposed algorithm. Experiments also show that the brand image is a robust feature for ad block detection.