Publication

Abstract : Nowadays, mobile photography plays a pivotal role in major parts of human lives. Every individual captures a lot of photographs in their personal device. However, management of these photographs by person becomes very crucial. Hence, photobook provides an attractive solution for personal storing and printing. In fact, today many commercial products are available to support the above point. But all of them require human annotation which is a time-consuming process and also leads to unreliable authentication. Hence, in this work, face recognition and deep learning techniques are utilized for photobook creation, wherein the user can create albums for a particular group of people or individuals and annotate them. Also, for every new photograph captured, the photobook will update itself automatically. Further, user interaction is introduced in the proposed work which makes it more reliable and results in good performance.