Automatic YouTube-Thumbnail Generation and Its Evaluation
Akari Shimono, Yuki Kakui, Toshihiko Yamasaki
Abstract
YouTubers have recently become highly popular. Generating eye-catching thumbnails is an important factor in attracting viewers. In this study, we propose an automatic YouTube-video-thumbnail generation method that ensures the following: rich facial expression of the YouTuber in the frame, clear presentation of the subject of the video, and clear description of the content through a headline. We compared thumbnails generated by the proposed method with those generated by existing methods or those of actually posted videos (i.e., ground truth), and we evaluated the results.
Topics & Concepts
ThumbnailComputer scienceHeadlineFrame (networking)Presentation (obstetrics)Face (sociological concept)Information retrievalGround truthArtificial intelligenceMultimediaImage (mathematics)AdvertisingTelecommunicationsMedicineRadiologySocial scienceBusinessSociologyVideo Analysis and SummarizationAdvanced Image and Video Retrieval TechniquesImage Processing Techniques and Applications