Signature-image-based event analysis for personal photo albums

Quick reorganizing and draft annotating personal photo albums under event scheme is an emerging trend. In this research, a method has been developed to meet such requirements using the idea of gist and mosaic art so that viewers could understand the meaning of a whole scene without paying much attention in individual details. First, given a photo album, all chronologically ordered images are normalized to a smaller size, and then mosaicked side-by-side to create a signature image representing for that album. Next, by integrating the optimized linear programming with the color descriptor of the signature image, not only the event-type of the album but also all sub-event-types of the sub-sequence photos are decided. More than 19,000 images of five varied event-types have been used to evaluate the proposed method. Experimental results show that the proposed method could detect events towards annotation and re-organization of personal photo albums with high accuracy at a rapid speed.