|Table of Contents|

Advertisement Unit Segmentation Based on Fusion of Audio and Text

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2012年03期
Page:
396-401
Research Field:
Publishing date:

Info

Title:
Advertisement Unit Segmentation Based on Fusion of Audio and Text
Author(s):
ZHANG Yu-zhen123XIA Zhao-lin4WANG Jian-yu4DAI Yue-wei5
1.School of Electronic Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China; 2.Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense,Nanjing 210094,China; 3.Key Laboratory of Photoelectronic Imaging Technology and System,Beijing Institute of Technology, Ministry of Education of China,Beijing 100081,China;4.School of Automation,NUST,Nanjing 210094,China; 5.Jiangsu University of Science and Technology,Zhenjiang 212003,China
Keywords:
advertisement units scene segmentation audio texts Gaussian mixture model entropy of segmentation audio change detection
PACS:
TP391.1
DOI:
-
Abstract:
Aiming at the problem of being difficult to segment ad units caused by the diversity of ad editorial methods,an ad unit segmentation algorithm based on fusing of audio data and text data is proposed.The audio data from ad video is modeled based on the Gaussian mixture model,and the audio change detection is realized based on the segmentation entropy.Along the time line,the ad unit boundary is detected for the first round by combining the audio change points and the text detection based on wavelet and support vector machine.The ad unit boundary is detected for the second round based on the time distance.Experiments prove that both the recall and precision of audio change detection are larger than 80% and both the recall and precision of ad unit segmentation are about 70%.

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Last Update: 2012-10-12