Suspense scene detection using recurrent neural network

QR Code

Suspense scene detection using recurrent neural network

Detecting the onset of suspenseful scenes is helpful for optimal ad placement. Some previous works that use movie scripts to imply suspense are somewhat deprived of contextual cues found in audio and video data. Meanwhile, the lack of a public video dataset for suspense scenes adds to the challenges...

Full description

Bibliographic Details
Main Author:	Lim, Sin Hui
Format:	Final Year Project / Dissertation / Thesis
Published:	2021
Subjects:	QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://eprints.utar.edu.my/4264/ http://eprints.utar.edu.my/4264/1/17ACB04528_FYP.pdf

Similar Items

Sentiment Analysis For E-Commerce Clothing Reviews Using Bidirectional Recurrent Neural Network
by: Muhammad Farhan Firdaus, Hairol Zaman
Published: (2023)

A systematic review of recurrent neural network adoption in missing data imputation
by: Nur Aqilah, Fadzil Akbar, et al.
Published: (2025)

Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network / Behzad Mahaseni
by: Behzad , Mahaseni
Published: (2021)

Applicability of feed-forward and recurrent neural networks to Boolean function complexity modeling
by: BEG, A, et al.
Published: (2008)

Dynamic scene occlusion culling in architectural scenes based on dynamic bounding volume
by: Paunoo @ Balu, Baldeve
Published: (2006)

Remote to Local Attack Detection Using Supervised Neural Network
by: Iftikhar, Ahmad, et al.
Published: (2010)

Investigating Supervised Neural Networks to Intrusion Detection
by: Iftikhar , Ahmad, et al.
Published: (2010)

Enhancement of elman recurrent network learning with particle swarm optimization
by: Ab. Aziz, Mohamad Firdaus
Published: (2007)

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
by: Ahmed Ali Mohammed, Al-saffar
Published: (2024)

Exploring Text Recognition Segmentation and Detection in Natural Scene Images
by: Wydyanto, ., et al.
Published: (2024)

Application of Artificial Neural Network in Detection of Probing Attacks
by: I., Ahmad, et al.
Published: (2010)

Application of Artificial Neural Network in Detection of Probing Attacks
by: Ahmad, iftikhar, et al.
Published: (2009)

Neural network corner detection of vertex chain code
by: Subri, S. H., et al.
Published: (2006)

Automatic spinal deformity detection based on neural network
by: Kim, Hyoungseop, et al.
Published: (2003)

Evaluating Neural Network Intrusion Detection Approaches Using Analytic Hierarchy Process
by: Ahmad, iftikhar, et al.
Published: (2010)

Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network
by: Ahmed, Abdulghani Ali
Published: (2019)

Curved text detection and ground truth generation for natural scene images / Ch’ng Chee Kheng
by: Ch’ng, Chee Kheng
Published: (2018)

Artificial Neural Network Approaches to Intrusion Detection: A Review
Published: (2009)

Artificial Neural Network Approaches to Intrusion Detection: A Review
by: Ahmad, Iftikhar
Published: (2009)

Artificial Neural Network Approaches to Intrusion Detection: A Review
by: Ahmad, iftikhar, et al.
Published: (2009)

Artificial Neural Network Approaches to Intrusion Detection: A Review
by: I., Ahmad, et al.
Published: (2010)

Towards the Selection of Best Neural Network System for Intrusion Detection
by: Iftikhar , Ahmad, et al.
Published: (2010)

Neural network in corner detection of vertex chain code series
by: Subri, S. H., et al.
Published: (2006)

Recurrence Analysis of Time Series
by: Chew, Kai Ye
Published: (2019)

Study of intelligence peer selection in enhancing p2p using artificial neural network
by: Cham, Hui
Published: (2014)

Object and Scene Category Recognition using a Combination of Dense Color SIFT Descriptors
by: Rassem, Taha Hussein Alaaldeen, et al.
Published: (2015)

Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
by: Fahad, Ahmed Mohammed, et al.
Published: (2019)

Sales Prediction Using Artificial Neural Network
by: Ilham Ariff, Mohammad Fadzli
Published: (2023)

Threat analysis using artificial neural network
by: Yee, Chan Pheng
Published: (2009)

Face recognition using eigenfaces and neural networks
by: Saad, Puteh, et al.
Published: (2006)

Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks
by: Srinivasan, Vairavan, et al.
Published: (2007)

MLP Neural Networks using Octave NN Package
by: Lee, Nung Kion
Published: (2015)

Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks
by: Ahmad, Iftikhar, et al.
Published: (2010)

Hybrid honey badger algorithm with artificial neural network (HBA-ANN) for website phishing detection
by: Muhammad Arif, Mohamad, et al.
Published: (2024)

Intelligent agent for electronic commerce using neural network approach / Yap Hui Sun
by: Yap, Hui Sun
Published: (2001)

Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)

Forecasting of Salmonellosis Incidence in Human using Artificial Neural Network
by: Adhistya Erna, Permanasari, et al.
Published: (2010)

Emotion speech recognition using KDE and MLP neural networks
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)

Parameter prediction for Lorenz Attractor by using Deep Neural Network
by: Nurnajmin Qasrina Ann, Ayop Azmi, et al.
Published: (2020)

Automated Detection of Anesthetic Depth Levels Using Chaotic Features with Artificial Neural Networks
by: Lalitha, V., et al.
Published: (2007)