FaceFetch: A User Emotion Driven Multimedia Content Recommendation System Based on Facial Expression Recognition

被引：18

作者：

Mariappan, Mahesh Babu ^{[1
]}

Suk, Myunghoon ^{[1
]}

Prabhakaran, Balakrishnan ^{[1
]}

机构：

[1] Univ Texas Dallas, Dept Comp Sci, Richardson, TX 75083 USA

来源：

2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM) | 2012年

关键词：

Emotion Recognition; Facial Expression Recognition; Context-Based Content Recommendation; Computer Vision;

D O I：

10.1109/ISM.2012.24

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recognition of facial expressions of users allows researchers to build context-aware applications that adapt according to the users' emotional states. Facial expression recognition is an active area of research in the computer vision community. In this paper, we present Face Fetch, a novel context-based multimedia content recommendation system that understands a user's current emotional state (happiness, sadness, fear, disgust, surprise and anger) through facial expression recognition and recommends multimedia content to the user. Our system can understand a user's emotional state through a desktop as well as a mobile user interface and pull multimedia content such as music, movies and other videos of interest to the user from the cloud with near real time performance.

引用

页码：84 / 87

页数：4

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