2013/11/21 by Yuzhu Zhou, Le Li, Zhou, Yuzhu +3 · 5 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Video Analysis and Summarization #cs.CV
paper · pdf · doi:10.48550/arxiv.1311.5590
Volume 2, Page 131-136. 2010 International Conference on Information and Multimedia Technology
arxiv created 2013/11/21 · openalex publication_date 2013/11/21 · arxiv updated 2013/11/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.