Commercial Shot Classification Based on Multiple Features Combination

スポンサーリンク

概要

• 論文の詳細を見る

• This paper presents a commercial shot classification scheme combining well-designed visual and textual features to automatically detect TV commercials. To identify the inherent difference between commercials and general programs, a special mid-level textual descriptor is proposed, aiming to capture the spatio-temporal properties of the video texts typical of commercials. In addition, we introduce an ensemble-learning based combination method, named Co-AdaBoost, to interactively exploit the intrinsic relations between the visual and textual features employed.

• （社）電子情報通信学会の論文
• 2010-09-01

著者

• LIU Nan

  Institute of Information Science, Beijing Jiaotong University

• NI Rongrong

  Institute of Information Science, Beijing Jiaotong University

• Zhao Yao

  Institute Of Information Science Beijing Jiaotong University

• Ni Rongrong

  Institute Of Information Science Beijing Jiaotong University

• Zhu Zhenfeng

  Institute Of Information Science Beijing Jiaotong University

• Liu Nan

  Institute Of Information Science Beijing Jiaotong University

関連論文

• Commercial Shot Classification Based on Multiple Features Combination
• Neighbor-Aided Authentication Watermarking Based on a Chaotic System with Feedback
• Lossless Data Hiding Based on Companding Technique and Difference Expansion of Triplets(Image)
• Commercial Shot Classification Based on Multiple Features Combination
• MR-MIL : Manifold Ranking Based Multiple-Instance Learning for Automatic Image Annotation
• Compatible Stereo Video Coding with Adaptive Prediction Structure
• Robust Multi-Bit Watermarking for Free-View Television Using Light Field Rendering

スポンサーリンク