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ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'

Abstract: 

The apparent distance of the camera from the subject of a filmed scene, namely shot scale, is one of the prominent formal features of any filmic product, endowed with both stylistic and narrative functions. In this work we propose to use Convolutional Neural Networks for the automatic classification of shot scale into Close-, Medium-, or Long-shots. The development of such a tool allows for investigating the relationship between shot scale computed of large movie corpora and the viewers’ emotional involvement, for purposes such as movie recommendation, stylistic analysis, and film therapy, to name a few. Training and testing are performed on the full filmographies by six different authors (Scorsese, Godard, Tarr, Fellini, Antonioni, and Bergman) for a total number of 120 movies analysed second by second. Classification results are widely superior to state-of-the-art, with an overall accuracy around 94%.

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Paper Details

Authors:
Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, and Sergio Benini
Submitted On:
5 October 2018 - 5:02am
Short Link:
Type:
Poster
Event:
Presenter's Name:
BENINI SERGIO
Paper Code:
Paper TP.P5.2 (1865)
Document Year:
2018
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Document Files

ICIP poster BENINI-TP.P5.2 (1865).pdf

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[1] Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, and Sergio Benini, "ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3523. Accessed: Oct. 20, 2019.
@article{3523-18,
url = {http://sigport.org/3523},
author = {Mattia Savardi; Alberto Signoroni; Pierangelo Migliorati; and Sergio Benini },
publisher = {IEEE SigPort},
title = {ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'},
year = {2018} }
TY - EJOUR
T1 - ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'
AU - Mattia Savardi; Alberto Signoroni; Pierangelo Migliorati; and Sergio Benini
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3523
ER -
Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, and Sergio Benini. (2018). ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'. IEEE SigPort. http://sigport.org/3523
Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, and Sergio Benini, 2018. ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'. Available at: http://sigport.org/3523.
Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, and Sergio Benini. (2018). "ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS'." Web.
1. Mattia Savardi, Alberto Signoroni, Pierangelo Migliorati, and Sergio Benini. ICIP poster presentation Paper TP.P5.2 (1865): 'SHOT SCALE ANALYSIS IN MOVIES BY CONVOLUTIONAL NEURAL NETWORKS' [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3523