In this paper, we propose an algorithm for identifying regions of interest (ROIs) in video, particularly for the keyframes extracted from a home video. The camera motion is introduced as a new factor that can influence the visual saliency. The global motion parameters are used to generate location-based importance maps. These maps can be combined with other saliency maps calculated using other visual and high-level features. Here, we employed the contrast-based saliency as an important low level factor along with face detection as a high level feature in our approach. Index Terms-video content analysis, regions of interest identification, visual saliency map, keyframes
Some researchers used camera motion information to find salient regions of interest REF .
Finding Regions of Interest in Home Videos Based on Camera Motion
2007 IEEE International Conference on Image Processing
2007 IEEE International Conference on Image Processing
Computer Science