Overview of the Development and Applications of a Vision Based Scene Change Detector

Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks

2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) ◽

10.1109/sibgrapi51738.2020.00023 ◽

2020 ◽

Author(s):

Daniel F. S. Santos ◽

Rafael G. Pires ◽

Danilo Colombo ◽

Joao P. Pap

Keyword(s):

Neural Networks ◽

Change Detection ◽

Convolutional Neural Networks ◽

Scene Change ◽

Scene Change Detection

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Abnormal Scene Change Detection from a Moving Camera Using Bags of Patches and Spider-Web Map

IEEE Sensors Journal ◽

10.1109/jsen.2014.2381257 ◽

2014 ◽

pp. 1-1 ◽

Cited By ~ 3

Author(s):

Jun-Wei Hsieh ◽

Chi-Hung Chuang ◽

Salah Alghyaline ◽

Hui-Fen Chiang ◽

Chao-Hong Chiang

Keyword(s):

Change Detection ◽

Scene Change ◽

Scene Change Detection ◽

Moving Camera ◽

Spider Web ◽

Web Map

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Motion-based video representation for scene change detection

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 ◽

10.1109/icpr.2000.905535 ◽

2002 ◽

Cited By ~ 3

Author(s):

Chong-Wah Ngo ◽

Ting-Chuen Pong ◽

Hong-Jiang Zhang ◽

R.T. Chin

Keyword(s):

Change Detection ◽

Scene Change ◽

Scene Change Detection ◽

Video Representation

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Scene change detection and feature extraction for MPEG-4 sequences

10.1117/12.333874 ◽

1998 ◽

Cited By ~ 2

Author(s):

Ajay Divakaran ◽

Hiroshi Ito ◽

Huifang Sun ◽

Tommy Poon

Keyword(s):

Feature Extraction ◽

Change Detection ◽

Scene Change ◽

Scene Change Detection

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Audio scene analysis and scene change detection in the MPEG compressed domain

1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451) ◽

10.1109/mmsp.1999.793819 ◽

1999 ◽

Cited By ~ 5

Author(s):

S. Venugopal ◽

K.R. Ramakrishnan ◽

S.H. Srinivas ◽

N. Balakrishnan

Keyword(s):

Change Detection ◽

Scene Analysis ◽

Compressed Domain ◽

Scene Change ◽

Scene Change Detection

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Cardiovascular Responding during Anger and Fear Imagery

Psychological Reports ◽

10.2466/pr0.1982.50.1.219 ◽

1982 ◽

Vol 50 (1) ◽

pp. 219-230 ◽

Cited By ~ 53

Author(s):

Richard J. Roberts ◽

Theodore C. Weerts

Keyword(s):

College Students ◽

Blood Pressure ◽

Heart Rate ◽

Systolic Blood Pressure ◽

Diastolic Blood Pressure ◽

Scene Change ◽

Emotional Responding ◽

Analysis Of Change ◽

Screening Interview

This study was designed to determine if visualization of anger- and fear-provoking scenes produced differential physiological patterns similar to those produced by in vivo manipulations. Normotensive college students were selected on the basis of their responses to newly developed Anger and Fear/Anxiety questionnaires and for their ability to construct arousing scenes during a screening interview. In a 2 × 2 design (intensity × emotion), four scenes (high and low anger, high and low fear) were constructed individually for each of 16 subjects to imagine. Diastolic blood pressure, systolic blood pressure, and heart rate were monitored during visualization of each scene. Change in diastolic blood pressure was significantly greater for high anger than for high fear as predicted. Analysis of change in heart rate and systolic blood pressure showed significant effects for intensity only. These results provide further support for the concept of physiological differentiation in human emotion and suggest the utility of imagery for systematic study of human emotional responding.

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