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Similarity Features for Facial Event Analysis [chapter]

Peng Yang, Qingshan Liu, Dimitris Metaxas
2008 Lecture Notes in Computer Science  
Each facial event will give rise to complex facial appearance variation. In this paper, we propose similarity features to describe the facial appearance for video-based facial event analysis.  ...  Inspired by the kernel features, for each sample, we compare it with all the reference images with a similarity function, and we take the log-weighted summarization of the similarities as its similarity  ...  Inspired by the kernel features, we develop similarity features to represent the complexity of facial appearance for the facial event analysis.  ... 
doi:10.1007/978-3-540-88682-2_52 fatcat:4l7lxzhznrcy3j22atqived2c4

Event detection: Ultra large-scale clustering of facial expressions

Thomas Vandal, Daniel McDuff, Rana El Kaliouby
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
Facial "events" were extracted and defined by a set of temporal features and then clustered using the k-means clustering algorithm.  ...  We believe this is the first example of what might be described "big data" analysis in facial expression research.  ...  [9] present a novel unsupervised approach (Aligned Cluster Analysis) for clustering similar facial events. De la Torre et al.  ... 
doi:10.1109/fg.2015.7163079 dblp:conf/fgr/VandalMK15 fatcat:qetowyf3wvcovmqivlte7ungsi

Classification of extreme facial events in sign language videos

Epameinondas Antonakos, Vassilis Pitsikalis, Petros Maragos
2014 EURASIP Journal on Image and Video Processing  
We propose a new approach for Extreme States Classification (ESC) on feature spaces of facial cues in sign language (SL) videos.  ...  Given the importance of such facial events in SL analysis, we apply ESC to detect visual events on SL videos, including both American (ASL) and Greek (GSL) corpora, yielding promising qualitative and quantitative  ...  Rodomagoulakis for his contribution and S. Theodorakis for insightful discussions.  ... 
doi:10.1186/1687-5281-2014-14 fatcat:iewpb7k4gbbvfgdmi6tlkkpq5y

A Deep Learning Approach for Real-Time Analysis of Attendees' Engagement in Public Events

Sujith Samuel Mathew, Manar AlKhatib, May El Barachi
2021 Journal of Communications Software and Systems  
Such model can be leveraged for the automatic analysis of attendees' engagement level in events.  ...  In recent years, facial sentiment analysis attracted significant attention for different application areas, including marketing, gaming, political analytics, healthcare, and human computer interaction.  ...  Such approach can have interesting applications for the analysis of events' participants engagement and satisfaction.  ... 
doi:10.24138/jcomss-2021-0072 fatcat:q3u23ps45ffqzmgf5ppotzyrei

Discriminatively Trained Latent Ordinal Model for Video Classification [article]

Karan Sikka, Gaurav Sharma
2017 arXiv   pre-print
We study the problem of video classification for facial analysis and human action recognition.  ...  We obtain consistent improvements over relevant competitive baselines on four challenging and publicly available video based facial analysis datasets for prediction of expression, clinical pain and intent  ...  The authors thank Sanjoy Dasgupta and Harpreet Sawhney for discussions.  ... 
arXiv:1608.02318v2 fatcat:zoegzczemnfxzf72hvu3rqkzzq

Unsupervised discovery of facial events

Feng Zhou, Fernando De la Torre, Jeffrey F. Cohn
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
To discover facial events, we propose a novel temporal clustering algorithm, Aligned Cluster Analysis (ACA), and a multi-subject correspondence algorithm for matching expressions.  ...  A key component in facial image analysis, largely conditioning the success of subsequent algorithms (e.g., facial expression recognition), is to define a vocabulary of possible dynamic facial events.  ...  (9) shows some of the dynamic vocabularies for facial expression analysis discovered by ACA+MDA. The algorithm correctly discovers smiling, silent, and talking as different facial events.  ... 
doi:10.1109/cvpr.2010.5539966 dblp:conf/cvpr/ZhouTC10 fatcat:kqhstrfzqfgwtmexliyixlzmnu

Using Viewer's Facial Expression and Heart Rate for Sports Video Highlights Detection

Prithwi Raj Chakraborty, Ligang Zhang, Dian Tjondronegoro, Vinod Chandran
2015 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15  
This paper explores the use of facial expressions (FE) and heart rate (HR) of viewers captured using camera and non-strapped sensor for identifying interesting video segments.  ...  show that, compared with subjective annotation and match report highlights, 'non-neutral' FE and 'relatively higher and faster' HR is able to capture 60%-80% of goal, foul, and shot-ongoal soccer video events  ...  Figure 3 (c) illustrates similar identified segments from positive and negative facial expressions in response to shot-on-goal events from three video clips for all subjects.  ... 
doi:10.1145/2671188.2749361 dblp:conf/mir/ChakrabortyZTC15 fatcat:lnjtql6fvvggbnbab2xh4vjvcu

Facial expressions of emotion states and their neuronal correlates in mice

Nejc Dolensek, Daniel A. Gehrlach, Alexandra S. Klein, Nadine Gogolla
2020 Science  
Facial expressions revealed emotion features such as intensity, valence, and persistence.  ...  We found that mice exhibit stereotyped facial expressions in response to emotionally salient events, as well as upon targeted manipulations in emotion-relevant neuronal circuits.  ...  (D) Similarity matrices containing pairwise similarity coefficients for all frames obtained in the vicinity of three events for each condition within one animal.  ... 
doi:10.1126/science.aaz9468 pmid:32241948 fatcat:xvbnfcdss5h4fnsduxnkw2whre

Features versus Context: An Approach for Precise and Detailed Detection and Delineation of Faces and Facial Features

Liya Ding, Aleix M Martinez
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
space  Facial event variation continuity wrt. feature value change.  ...  the facial event.  Figure 1 . 1 Example of pose over the yaw angle extreme states classification.  ... 
doi:10.1109/tpami.2010.28 pmid:20847391 pmcid:PMC3657115 fatcat:5alghmiv5balvfl6ij7644jpyq

Expression analysis in the wild

Abhinav Dhall
2013 Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13  
Facial expression analysis is now an active field of research for over two decades now. However, still there are a lot of questions unanswered.  ...  This project will explore and devise algorithms and techniques for facial expression analysis in practical environments. Methods will also be developed for inferring the emotion of a group of people.  ...  Generally people are the main focus of interest in social events. A structural similarity based method is proposed in [4] .  ... 
doi:10.1145/2461466.2461529 dblp:conf/mir/Dhall13 fatcat:z4l4emmzzvas5cp7p7muixymh4

LOMo: Latent Ordinal Model for Facial Analysis in Videos [article]

Karan Sikka, Gaurav Sharma, Marian Bartlett
2016 arXiv   pre-print
We study the problem of facial analysis in videos.  ...  We obtain consistent improvements over relevant competitive baselines on four challenging and publicly available video based facial analysis datasets for prediction of expression, clinical pain and intent  ...  Introduction Facial analysis is an important area of computer vision.  ... 
arXiv:1604.01500v1 fatcat:l3m7f6mvtnaezaq4rcrcaa2lem

Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions

Jingjing Liu, Bo Liu, Shaoting Zhang, Fei Yang, Peng Yang, Dimitris N. Metaxas, Carol Neidle
2014 Image and Vision Computing  
This paper proposes an automatic recognition system for non-manual grammatical markers in American Sign Language (ASL) based on a multi-scale, spatiotemporal analysis of head pose and facial expressions  ...  Using this multi-scale, spatio-temporal combination of low-and high-level features, we employ learning methods for accurate recognition of non-manual grammatical markers in ASL sentences.  ...  grants from National Science Foundation (IIS-1064965, IIS-1065013, CNS-1059281, CNS-1059218, IIS-0964597, IIS-0964385) , National Space Biomedical Research Institute through NASA NCC 9-58, the Center for  ... 
doi:10.1016/j.imavis.2014.02.009 fatcat:hovknwclsra6ldaqnvdmcucsmm

Unsupervised classification of extreme facial events using active appearance models tracking for sign language videos

Epameinondas Antonakos, Vassilis Pitsikalis, Isidoros Rodomagoulakis, Petros Maragos
2012 2012 19th IEEE International Conference on Image Processing  
We propose an Unsupervised method for Extreme States Classification (UnESC) on feature spaces of facial cues of interest.  ...  Apart from the detection of extreme facial states, the proposed Un-ESC also has impact for SL corpora lacking any facial annotations.  ...  Facial features have received similar attention in other fields too, in which their accurate detection is essential for many face-related applications [6, 7] .  ... 
doi:10.1109/icip.2012.6467133 dblp:conf/icip/AntonakosPRM12 fatcat:n224moh3qre33jsqfq5njb5ava

Context Based Facial Expression Analysis in the Wild

Abhinav Dhall
2013 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction  
Facial expression analysis is now an active field of research for over two decades now. However, still there are a lot of questions unanswered.  ...  This project will explore and devise algorithms and techniques for facial expression analysis in practical environments. Methods will also be developed for inferring the emotion of a group of people.  ...  Generally people are the main focus of interest in social events. A structural similarity based method is proposed in [5] .  ... 
doi:10.1109/acii.2013.111 dblp:conf/acii/Dhall13 fatcat:pyerjkkdnfhqlcz3f62r2lkyeu

LOMo: Latent Ordinal Model for Facial Analysis in Videos

Karan Sikka, Gaurav Sharma, Marian Bartlett
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We study the problem of facial analysis in videos.  ...  We obtain consistent improvements over relevant competitive baselines on four challenging and publicly available video based facial analysis datasets for prediction of expression, clinical pain and intent  ...  Introduction Facial analysis is an important area of computer vision.  ... 
doi:10.1109/cvpr.2016.602 dblp:conf/cvpr/SikkaSB16 fatcat:6byhdheoonho5eoiwizbuqvdqa
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