Abstract
With the development of various technologies in image/video processing applications, it is more convenient to share images/videos on different multimedia devices. However, due to different display screen sizes of multimedia devices, we have to resize images/videos to deliver the image/video data for users. Since image/video retargeting will cause visual information loss or distortion, an evaluation method to assess the performance of image/video retargeting is much desired. In order to evaluate the visual quality of retargeted images/videos, we design a subjective visual quality assessment method to precisely record human subjective perception. Our subjective visual quality assessment method includes three parts. First, we ask participants to make an overall image subjective visual quality voting. Then, we let participant judge images about the subjective image information loss. Finally, we request participants to choose the subjective reasons for their voting. Through analyzing correlations between the results from the subjective visual quality assessment method and the objective visual quality metric, we verify whether the results from the objective visual quality metric are consistent with those from the subjective visual quality assessment method. Besides, statistical results are used to analyze relations between image attributes, and discuss different types of distortion caused by different image retargeting algorithms.