Photo and Video Quality Evaluation: Focusing on the Subject

Abstract. Traditionally, distinguishing between high quality professional photos and low quality amateurish photos is a human task. To automatically assess the quality of a photo that is consistent with humans perception is a challenging topic in computer vision. Various differences exist between photos taken by professionals and amateurs because of the use of photography techniques. Previous methods mainly use features extracted from the entire image. In this paper, based on professional photography techniques, we first extract the subject region from a photo, and then formulate a number of high-level semantic features based on this subject and background division. We test our features on a large and diverse photo database, and compare our method with the state of the art. Our method performs significantly better with a classification rate of 93% versus 72% by the best existing method. In addition, we conduct the first study on high-level video quality assessment. Our system achieves ...

• Type: Conference
• Year: 2008
• Where: ECCV
• Authors: Yiwen Luo, Xiaoou Tang
• Keywords: Computer Vision, Diverse Photo Database, ECCV 2008, Professional Photography Techniques, Quality Amateurish Photos, Quality Professional Photos, Reasonable Recall Rate