J-036 Video Content Analysis from Viewer's Perspective : Based on Pupil Size and Gazing Point

スポンサーリンク

概要

• 論文の詳細を見る

• the exponential increase in digital video volume has triggered the massive research effort in the area of video content analysis. Differ to conventional low-level audiovisual feature approach, this paper proposed to extract affective video content based on viewer's perspective. Experiments are carried out on 14 subjects and their pupil size and gazing point are recorded while watching a full-length motion picture. Affective features are extracted from pupil size and gazing point. The outcome shows that our proposal is able to represent the viewer's emotion and could be employed in video content analysis.

• FIT(電子情報通信学会・情報処理学会)推進委員会の論文
• 2008-08-20

著者

• Kameyama Wataru

  早大

• Ong Kok-meng

  早大

関連論文

• N-030 On Advertisement Distribution Model and Its Analysis Method
• J-007 Analaysis of Human Gaze in Videos with Human Face : Comparison of Gaze Distance with Detected Face and Motion Center
• B-022 A Basic Consideration on E-mail Classification by Importance
• H-010 Preliminary Experiment on Khmer OCR
• J-036 Video Content Analysis from Viewer's Perspective : Based on Pupil Size and Gazing Point
• E-007 A Rule-based Approach for Khmer Word Extraction
• H-015 Enabling Diversity in Image Retrieval Task using Clustering Approach with Commonsense Knowledge
• Efficient interaction tool for M-learning using MMOG technology (情報学基礎・デジタルドキュメント・学生チャレンジ特集)
• Efficient Interaction Tool for M-learning Using MMOG Technology
• B-023 A Proposal on Flexible Information Management System for Next Generation of Museum

スポンサーリンク