A review on video summarization techniques

P Meena, H Kumar, SK Yadav - Engineering Applications of Artificial …, 2023 - Elsevier
The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …

Analysis of EEG signals and facial expressions for continuous emotion detection

M Soleymani, S Asghari-Esfeden, Y Fu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Emotions are time varying affective phenomena that are elicited as a result of stimuli. Videos
and movies in particular are made to elicit emotions in their audiences. Detecting the …

Survey of compressed domain video summarization techniques

M Basavarajaiah, P Sharma - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Video summarization is the method of extracting key frames or clips from a video to generate
a synopsis of the content of the video. Generally, video is compressed before storing or …

Multimodal emotion recognition in response to videos

M Soleymani, M Pantic, T Pun - IEEE transactions on affective …, 2011 - ieeexplore.ieee.org
This paper presents a user-independent emotion recognition method with the goal of
recovering affective tags for videos using electroencephalogram (EEG), pupillary response …

Video affective content analysis: A survey of state-of-the-art methods

S Wang, Q Ji - IEEE Transactions on Affective Computing, 2015 - ieeexplore.ieee.org
Video affective content analysis has been an active research area in recent decades, since
emotion is an important component in the classification and retrieval of videos. Video …

A survey of recent work on video summarization: approaches and techniques

V Tiwari, C Bhatnagar - Multimedia Tools and Applications, 2021 - Springer
The volume of video data generated has seen an exponential growth over the years and
video summarization has emerged as a process that can facilitate efficient storage, quick …

Looking at the viewer: analysing facial activity to detect personal highlights of multimedia contents

H Joho, J Staiano, N Sebe, JM Jose - Multimedia Tools and Applications, 2011 - Springer
This paper presents an approach to detect personal highlights in videos based on the
analysis of facial activities of the viewer. Our facial activity analysis was based on the motion …

MERASTC: Micro-Expression Recognition Using Effective Feature Encodings and 2D Convolutional Neural Network

P Gupta - IEEE Transactions on Affective Computing, 2021 - ieeexplore.ieee.org
Facial micro-expression (ME) can disclose genuine and concealed human feelings. It makes
MEs extensively useful in real-world applications pertaining to affective computing and …

Affective state detection via facial expression analysis within a human–computer interaction context

A Samara, L Galway, R Bond, H Wang - Journal of Ambient Intelligence …, 2019 - Springer
The advancement in technology indicates that there is an opportunity to enhance human–
computer interaction by way of affective state recognition. Affective state recognition is …

[PDF][PDF] Affective recommender systems: the role of emotions in recommender systems

M Tkalcic, A Kosir, J Tasic - Proc. The RecSys 2011 Workshop on …, 2011 - ceur-ws.org
Recommender systems have traditionally relied on data-centric descriptors for content and
user modeling. In recent years we have witnessed an increasing number of attempts to use …