Sciweavers

Share
MMM
2011
Springer

Generating Representative Views of Landmarks via Scenic Theme Detection

8 years 1 months ago
Generating Representative Views of Landmarks via Scenic Theme Detection
Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to generate representative and distinctive views of landmarks by automatically discovering the underlying Scenic Themes (e.g. sunny, night view, snow, foggy views, etc.) via a content-based analysis. The challenge is that the task suffers from the subjectivity of the scenic theme understanding, and there is lack of prior knowledge of scenic themes understanding. In addition, the visual variations of scenic themes are results of joint effects of factors including weather, time, season, etc. To tackle the aforementioned issues, we exploit the Dirichlet Process Gaussian Mixture Model (DPGMM). The major advantages in using DPGMM is that it is fully unsupervised and do not require the number of components to be fixed beforehand, which avoids the difficulty in adjusting model complexity to avoid over-fitting. This wo...
Yi-Liang Zhao, Yan-Tao Zheng, Xiangdong Zhou, Tat-
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where MMM
Authors Yi-Liang Zhao, Yan-Tao Zheng, Xiangdong Zhou, Tat-Seng Chua
Comments (0)
books