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MEGC2020 - The Third Facial Micro-Expression Grand Challenge

Jingting LI, Su-Jing Wang, Moi Hoon Yap, John See, Xiaopeng Hong, Xiaobai Li
2020 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)  
Compared to the advances made in micro-expression recognition, the task of micro-expression spotting from long videos is tremendously in need of more effective methods.  ...  In this workshop, we propose a new challenge of spotting both macro-and micro-expressions from long videos, to spur the community to develop new techniques for micro-expression spotting and also to extend  ...  Although the task of spotting micro-expressions from long videos is very challenging, the current momentum in micro-expression research is encouraging.  ... 
doi:10.1109/fg47880.2020.00035 fatcat:twagypcrd5gljconarf67w6hwq

MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge

John See, Moi Hoon Yap, Jingting Li, Xiaopeng Hong, Su-Jing Wang
2019 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)  
Automatic facial micro-expression (ME) analysis is a growing field of research that has gained much attention in the last five years.  ...  This paper summarises the 2nd Facial Micro-Expression Grand Challenge (MEGC 2019) held in conjunction with the 14th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2019.  ...  LBP-χ 2 method spots the maximal movement in the video sequence, and it works well in short videos which contain only a single micro-expression.  ... 
doi:10.1109/fg.2019.8756611 dblp:conf/fgr/SeeYLHW19 fatcat:rt6x2uqs4beshkzvouzl2gm44i

Less is more: Micro-expression recognition from video using apex frame

Sze-Teng Liong, John See, KokSheik Wong, Raphael C.-W. Phan
2018 Signal processing. Image communication  
Is the luxury of data a bane to accurate recognition? A novel proposition is presented in this paper, whereby we utilize only two images per video: the apex frame and the onset frame.  ...  Conventional feature extraction approaches for micro-expression video consider either the whole video sequence or a part of it, for representation.  ...  Apex spotting Apart from the aforementioned micro-expression frames searching approaches, the other technique used is to automatically spot the instance of the single apex frame in a video.  ... 
doi:10.1016/j.image.2017.11.006 fatcat:jqhryjdrmfh7jjdhdicpuh4ply

Can Micro-Expression be Recognized Based on Single Apex Frame?

Yante Li, Xiaohua Huang, Guoying Zhao
2018 2018 25th IEEE International Conference on Image Processing (ICIP)  
Most of recent works have attempted to recognize micro-expression by using the spatial and dynamic information from the video clip.  ...  It may be reasonable to use apex frame for improving micro-expression recognition. However, it is wonder how much apex frames contribute to micro-expression recognition.  ...  [8] firstly use optical flow based on regions of interest to spot the apex frame from a long-term video, and then extract bi-weighted orientation optical flow feature on this spotted apex frame for  ... 
doi:10.1109/icip.2018.8451376 dblp:conf/icip/LiHZ18 fatcat:ccp4w5m65bft3l3zui3ub2ooim

A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges

Yee-Hui Oh, John See, Anh Cat Le Ngo, Raphael C. -W. Phan, Vishnu M. Baskaran
2018 Frontiers in Psychology  
In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition.  ...  Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such  ...  A total of 31 videos with 16 individuals were collected. SPOTTING OF FACIAL MICRO-EXPRESSIONS Automatic ME analysis involves two tasks: ME spotting and ME recognition.  ... 
doi:10.3389/fpsyg.2018.01128 pmid:30042706 pmcid:PMC6049018 fatcat:xmfjhlckv5holn4puj3zviy4p4

Micro-expression spotting: A new benchmark [article]

Thuong-Khanh Tran, Quang-Nhat Vo, Xiaopeng Hong, Xiaobai Li, Guoying Zhao
2020 arXiv   pre-print
In the computer vision field, the study of MEs can be divided into two main tasks, spotting and recognition, which are used to identify positions of MEs in videos and determine the emotion category of  ...  Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people are trying to hide their true feelings or conceal their emotions.  ...  To resolve these issues, at every LOSO testing fold, we integrate all tested videos into a single long video.  ... 
arXiv:2007.12421v2 fatcat:yucdutshp5atnoxjboowhxorwa

OFF-ApexNet on Micro-expression Recognition System [article]

Sze-Teng Liong, Y.S. Gan, Wei-Chuen Yau, Yen-Chang Huang, Tan Lit Ken
2018 arXiv   pre-print
In this paper, we address the micro-expression recognition task with a convolutional neural network (CNN) architecture, which well integrates the features extracted from each video.  ...  Exploration of automatic facial micro-expression recognition systems is relatively new in the computer vision domain.  ...  It might because of the apex frames of each video are spotted using an automatic apex spotting system, instead of utilizing the groundtruths.  ... 
arXiv:1805.08699v1 fatcat:hapkrux6lnhhpnufaoevprfuty

Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms [article]

Xianye Ben and Yi Ren and Junping Zhang and Su-Jing Wang and Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu
2022 arXiv   pre-print
Accordingly, in this survey paper, we first highlight the key differences between macro- and micro-expressions, then use these differences to guide our research survey of video-based micro-expression analysis  ...  Furthermore, after considering the limitations of existing micro-expression datasets, we present and release a new dataset - called micro-and-macro expression warehouse (MMEW) - containing more video samples  ...  macro-expression from micro-expression Micro-expression detection/spotting Onset, apex and offset frames detection Spotting facial movements from long-term videos Able to capture tiny expression variations  ... 
arXiv:2201.12728v1 fatcat:h2l3ypvdmnaabe6w7jsdzxyhvu

Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos [article]

Gen-Bing Liong, John See, Lai-Kuan Wong
2021 arXiv   pre-print
However, spotting microexpressions in long videos becomes increasingly challenging when intertwined with normal or macro-expressions.  ...  In recent years, the analysis of micro-expressions - a natural occurrence resulting from the suppression of one's true emotions, has drawn the attention of researchers with a broad range of potential applications  ...  Figure 6 depicts the normalized spotting confidence score plots of both macro-and micro-expressions in two sample long videos (both contain a variety of micro-and macro-expressions from CAS(ME) 2 ).  ... 
arXiv:2106.06489v1 fatcat:s5dqvjahnnenfiekbzopcaddma

Optimal Compact Network for Micro-Expression Analysis System

Koo Sie-Min, Mohd Asyraf Zulkifley, Nor Azwan Mohamed Kamari
2022 Sensors  
For the spotting part, an optimized continuous labeling scheme is introduced to spot the apex frame in a video.  ...  In this paper, a complete deep learning-based micro-expression analysis system is introduced that covers the two main components of a general automated system: spotting and recognition, with also an additional  ...  Acknowledgments: The authors would like to thank the support from Universiti Kebangsaan Malaysia and the Ministry of Higher Education Malaysia.  ... 
doi:10.3390/s22114011 pmid:35684628 fatcat:iov5lyiltreandh4ekbghp4hy4

High-Speed Video System for Micro-Expression Detection and Recognition

Diana Borza, Radu Danescu, Razvan Itu, Adrian Darabant
2017 Sensors  
From a theoretical perspective, videos stimuli are more suitable interactive real-world situations, because it is easier to capture stable face data and to spot and recognize the micro-expressions (even  ...  Automatic analysis of micro-expression is challenging due to their low amplitude and to their short duration (they occur as fast as 1/15 to 1/25 of a second).  ...  An example of the n frames used to recognize a ME type is depicted in Figure 10 . Micro-Expression Recognition The flow of the ME recognition module is depicted in Figure 9 .  ... 
doi:10.3390/s17122913 pmid:29240700 pmcid:PMC5751645 fatcat:vyeaumpc2fdutmft57xihpxhgi

Facial Micro-Expressions Grand Challenge 2018 Summary

Moi Hoon Yap, John See, Xiaopeng Hong, Su-Jing Wang
2018 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)  
This paper summarises the Facial Micro-Expression Grand Challenge (MEGC 2018) held in conjunction with the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2018.  ...  We present a summary and analysis of the baseline results using LBP-TOP, HOOF and 3DHOG, together with results from the challenge submissions.  ...  If we are able to spot the occurrence of micro-expressions from long videos or live video streams in an automated manner, we can provide assessment of whether a person is telling lies at that opportune  ... 
doi:10.1109/fg.2018.00106 dblp:conf/fgr/YapSHW18 fatcat:2vkziiqz6zcdpaqrpf7irm7ytu

Micro-expression detection in long videos using optical flow and recurrent neural networks [article]

Michiel Verburg, Vlado Menkovski
2019 arXiv   pre-print
This paper presents a novel micro-expression spotting method using a recurrent neural network (RNN) on optical flow features.  ...  The initial results show that the proposed method would reduce the video length by a factor of 3.5, while still retaining almost half of the relevant micro-movements.  ...  Hence, there is still a large gap in research on micro-expression spotting in long videos.  ... 
arXiv:1903.10765v1 fatcat:32n6bdmu5rgn5dol5htb5qtbri

Micro‐expression recognition by two‐stream difference network

Hang Pan, Lun Xie, Juan Li, Zeping Lv, Zhiliang Wang
2021 IET Computer Vision  
The micro-expression image is the apex image, and the identity image is the onset image in the micro-expression sequence.  ...  The experiment results show that our model can achieve a superior performance in micro-expression recognition.  ...  [31] achieved a good recognition rate by applying Sparsity-Promoting Dynamic Mode Decomposition (DMDSP) to remove neutral expressions from micro-expression videos. Liu et al.  ... 
doi:10.1049/cvi2.12030 fatcat:peqduznh3rb4nctq5oqcm4pagu

Deep Learning for Micro-expression Recognition: A Survey [article]

Yante Li, Jinsheng Wei, Yang Liu, Janne Kauttonen, Guoying Zhao
2021 arXiv   pre-print
In this survey, we provide a comprehensive review of deep micro-expression recognition (MER), including datasets, deep MER pipeline, and the bench-marking of most influential methods.  ...  Different from macro-expressions, MEs are spontaneous, subtle, and rapid facial movements, leading to difficult data collection, thus have small-scale datasets.  ...  Part A includes 87 long videos with both macro-and micro-expressions and part B contains 300 cropped spontaneous macro-expression samples and 57 micro-expression samples.  ... 
arXiv:2107.02823v4 fatcat:w2bqbvxw4zbc7jjnqmx2gmh5aa
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