Deep Saliency: Prediction of Interestingness in Video with CNN

Souad Chaabouni; Jenny Benois‐Pineau; Akka Zemmari; Chokri Ben Amar

doi:10.1007/978-3-319-57687-9_3

ScienceGate Book Chapters

BOOK-CHAPTER

Deep Saliency: Prediction of Interestingness in Video with CNN

Souad Chaabouni Jenny Benois‐Pineau Akka Zemmari Chokri Ben Amar

Year: 2017 Pages: 43-74

DOI: 10.1007/978-3-319-57687-9_3

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Computer science Search engine indexing Salient Residual Pattern recognition (psychology) Computer vision Convolutional neural network Deep learning Object (grammar) Motion (physics) Visualization

Metrics

Cited By

1.09

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep Saliency: Prediction of Interestingness in Video with CNN

Metrics

Citation History

Topics

Related Documents

Deep saliency features for video saliency prediction

Prediction of visual saliency in video with deep CNNs

Video Saliency Prediction via Deep Eye Movement Learning

Sentiment Flow for Video Interestingness Prediction

Transfer learning with deep networks for saliency prediction in natural video