  In this paper, we present a region-based pLSA model to accomplish the task of
total scene annotation. To be more specific, we not only properly generate a
list of tags for each image, but also localizing each region with its
corresponding tag. We integrate advantages of different existing region-based
works: employ efficient and powerful JSEG algorithm for segmentation so that
each region can easily express meaningful object information; the introduction
of pLSA model can help better capturing semantic information behind the
low-level features. Moreover, we also propose an adaptive padding mechanism to
automatically choose the optimal padding strategy for each region, which
directly increases the overall system performance. Finally we conduct 3
experiments to verify our ideas on Corel database and demonstrate the
effectiveness and accuracy of our system.
