Classification of Video Resolution for the Enhanced Display of Images on HDTV

Although video sources for HDTV broadcasting are mainly in HD resolution, some of them are still from low resolution video sources such as videos that are taken long time ago, internet-streamed or cellphone videos. When these sources are displayed on HDTV, they usually appear to be blurry and their color is not vivid. To alleviate these problems, a proper video enhancement for each source is necessary to display them on HDTV with satisfaction. However, since the decoded images on HDTV do not contain the information on the origin of sources in many cases, it needs to be classified whether their origins out from HD source or not. For this, we propose an HD/non-HD classifier based on the Support Vector Machine (SVM) with the frequency information of the selected region in the decoded image. To evaluate the performance of the proposed HD/non-HD classifier, we use a test database of 6252 HD and 6934 SD still images captured from various TV genres. The experimental results show that the proposed classifier yields high accuracy rate of 99.61%.