Cart (Loading....) | Create Account
Close category search window
 

Probabilistic Multimodality Fusion for Event based Home Photo Clustering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
5 Author(s)
Tao Mei ; MOE-MS Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei ; Bin Wang ; Xian-Sheng Hua ; He-Qin Zhou
more authors

This paper presents a novel probabilistic approach to fusing multimodal metadata for event based home photo clustering. Photo events are characterized by the coherence of multimodality including time, content and camera settings. We incorporate these multimodal metadata into a unified probabilistic framework, in which event is taken as a latent semantic concept and discovered by fitting a generative model through an expectation-maximization (EM) algorithm. This approach is general and unsupervised, without any training procedure or predefined threshold. The experimental evaluations on 14 k photos taken by 10 amateur photographers have indicated the effectiveness and efficiency of the proposed framework in browsing and searching personal photo collections

Published in:

Multimedia and Expo, 2006 IEEE International Conference on

Date of Conference:

9-12 July 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.