Extracting book titles from book recommendation videos using a deep learning approach

Authors : Bartu Sarimehmetoğlu, Hamit Erdem

Pages : 229-234

Doi:10.51354/mjen.1369636

View : 84 | Download : 83

Publication Date : 2023-12-25

Article Type : Research Paper

Abstract :Extracting text from images and videos is an emerging field of research with a wide range of applications, including video search, video editing, and translation. Nowadays, book promotion videos in different languages are shared on social media and especially on YouTube. In this study; It is recommended to take book titles through book promotion videos. The developed system takes video as input and separates the names of the books. The viewer can select the desired book by clicking on the detected book titles and watch the relevant part of the video. This application result in time saving by the viewer. In order to achieve this application, a deep learning-based system was developed to retrieve the names of books from videos. YOLO-based method was used in the study. Different YOLO algorithms were used in the study, and YOLOv5 was found to be more successful. This study contributes to the field of text extraction and video analysis by developing a deep learning-based approach to extract book titles from book promotion videos.
Keywords : Book promotion videos, book titles, deep learning, YOLOv5, time saving