NDLI: Saliency-maximized audio visualization and efficient audio-visual browsing for faster-than-real-time human acoustic event detection

Content Provider	ACM Digital Library
Author	Lin, Kai-Hsiang Hasegawa-johnson, Mark King, Sarah Zhuang, Xiaodan Huang, Thomas S. Goudeseune, Camille
Copyright Year	2014
Abstract	Browsing large audio archives is challenging because of the limitations of human audition and attention. However, this task becomes easier with a suitable visualization of the audio signal, such as a spectrogram transformed to make unusual audio events salient. This transformation maximizes the mutual information between an isolated event's spectrogram and an estimate of how salient the event appears in its surrounding context. When such spectrograms are computed and displayed with fluid zooming over many temporal orders of magnitude, sparse events in long audio recordings can be detected more quickly and more easily. In particular, in a 1/10-real-time acoustic event detection task, subjects who were shown saliency-maximized rather than conventional spectrograms performed significantly better. Saliency maximization also improves the mutual information between the ground truth of nonbackground sounds and visual saliency, more than other common enhancements to visualization.
Starting Page	1
Ending Page	16
Page Count	16
File Format	PDF
ISSN	15443558
e-ISSN	15443965
DOI	10.1145/2536764.2536773
Volume Number	10
Issue Number	4
Journal	ACM Transactions on Applied Perception (TAP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Visual salience/saliency Acoustic event detection Audio visualization
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Theoretical Computer Science Computer Science

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Saliency-Maximized Audio Visualization and Efficient Audio-Visual Browsing for Faster-than-Real-Time Human Acoustic Event Detection

Saliency-maximized audio visualization and efficient audio-visual browsing for faster-than-real-time human acoustic event detection.

Improving faster-than-real-time human acoustic event detection by saliency-maximized audio visualization

IMPROVING FASTER-THAN-REAL-TIME HUMAN ACOUSTIC EVENT DETECTION BY SALIENCY-MAXIMIZED AUDIO VISUALIZATION

Improving faster-than-real-time human acoustic event detection by saliency-maximized audio visualization.

Mesh saliency and human eye fixations

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Saliency-maximized audio visualization and efficient audio-visual browsing for faster-than-real-time human acoustic event detection

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