Abstract—The fast evolution of digital video has brought many new multimedia applications and, as a consequence, research into new technologies that aim at improving the effectiveness and efficiency of video acquisition, archiving, cataloging and indexing, as well as increasing the usability of stored videos. Among all possible research areas, video summarization is one of the most important topics, which may enable a quick browsing of a large collection of video data and to achieve efficient content access and representation. Essentially, this research area consists of automatically generating a short summary of a video, which can either be a static summary or a dynamic summary. In this paper, we present VSUMM, a methodology for the development of static video summaries. The method is based on color feature extraction from video frames and unsupervised classification. We also develop a new subjective method to evaluate video static summaries. The video summaries are manually created by users and compared with different approaches found in the literature. Experimental results show – with a confidence level of 98 % – that the proposed solution provided static video summaries with superior quality relative to the approaches to which it was compared. Keywords-Video summarization; Static video summary; Keyframes; Subjective evaluation; Clustering; Color histogram. I.