Relevant bibliographies by topics / Facial video processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Facial video processing'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Facial video processing"

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Kroczek, Leon O. H., Angelika Lingnau, Valentin Schwind, Christian Wolff, and Andreas Mühlberger. "Angry facial expressions bias towards aversive actions." PLOS ONE 16, no. 9 (2021): e0256912. http://dx.doi.org/10.1371/journal.pone.0256912.

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Social interaction requires fast and efficient processing of another person’s intentions. In face-to-face interactions, aversive or appetitive actions typically co-occur with emotional expressions, allowing an observer to anticipate action intentions. In the present study, we investigated the influence of facial emotions on the processing of action intentions. Thirty-two participants were presented with video clips showing virtual agents displaying a facial emotion (angry vs. happy) while performing an action (punch vs. fist-bump) directed towards the observer. During each trial, video clips s
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Muthanna Shibel, Ahmed, Sharifah Mumtazah Syed Ahmad, Luqman Hakim Musa, and Mohammed Nawfal Yahya. "DEEP LEARNING DETECTION OF FACIAL BIOMETRIC PRESENTATION ATTACK." LIFE: International Journal of Health and Life-Sciences 8 (October 23, 2023): 61–78. http://dx.doi.org/10.20319/lijhls.2022.8.6178.

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Face recognition systems have gained increasing importance in today’s society, which applications range from access controls to secure systems to electronic devices such as mobile phones and laptops. However, the security of face recognition systems is currently being threatened by the emergence of spoofing attacks that happens when someone tries to unauthorizedly bypass the biometric system by presenting a photo, 3-dimensional mask, or replay video of a legit user. The video attacks are perhaps one of the most frequent, cheapest, and simplest spoofing techniques to cheat face recognition syst
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Mahalim, Vaishnavi Sanjay, Seema Goroba Admane, Divya Vinod Kundgar, and Ankit Hirday Narayan Singh. "Development of Real-Time Emotion Recognition System Using Facial Expressions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26415.

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This research presents a real-time emotion recognition system that combines human-friendly machine interaction with picture processing. For many years, facial detection has been available. Moving further, it is possible to simulate the emotions that people express on their faces and experience in their brains through the use of video, electric signals, or image forms. Since it is hard for computers to detect emotions from images or videos and a difficult task for the human eye, machine emotion detection requires a variety of image processing approaches for feature extraction. The approach prop
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Tej, Maddimsetty Bullaiaha. "Eye of Devil: Face Recognition in Real World Surveillance Video with Feature Extraction and Pattern Matching." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 2334–37. http://dx.doi.org/10.22214/ijraset.2021.39711.

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Abstract: People lost, people missing etc., these are the words we come across whenever there is any mass gathering events going on or in crowded areas. To solve this issue some traditional approaches like announcements are in use. One idea is to identify the person using face recognition and pattern matching techniques. There are several techniques to implement face recognition like extraction of facial features by using the position of eyes, nose, jawbone or skin texture analysis etc., By using these techniques a unique dataset can be created for each human. Here the photograph of the missin
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Jasna A, Rathi, and Dr T. C. . Subbulakshmi. "Law Enforcement Facial Recognition System for Crime." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43842.

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Facial recognition technology is used by police enforcement to identify offenders and find missing people. This paper describes a law enforcement facial recognition system that detects and recognizes faces using the Local Binary Pattern Histogram (LBPH) and the Haar Cascade Classifier. The system's simple Tkinter-based graphical user interface (GUI) enables authorized workers to register photographs of offenders and missing people, analyse images, and process films for facial recognition. To offer best data handling and storage, the system is built with Python (Tkinter), PHP, MySQL (phpMyAdmin
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Blanes-Vidal, Victoria, Tomas Majtner, Luis David Avendaño-Valencia, Knud B. Yderstraede, and Esmaeil S. Nadimi. "Invisible Color Variations of Facial Erythema: A Novel Early Marker for Diabetic Complications?" Journal of Diabetes Research 2019 (September 2, 2019): 1–7. http://dx.doi.org/10.1155/2019/4583895.

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Aim. (1) To quantify the invisible variations of facial erythema that occur as the blood flows in and out of the face of diabetic patients, during the blood pulse wave using an innovative image processing method, on videos recorded with a conventional digital camera and (2) to determine whether this “unveiled” facial red coloration and its periodic variations present specific characteristics in diabetic patients different from those in control subjects. Methods. We video recorded the faces of 20 diabetic patients with peripheral neuropathy, retinopathy, and/or nephropathy and 10 nondiabetic co
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S, Manjunath, Banashree P, Shreya M, Sneha Manjunath Hegde, and Nischal H P. "Driver Drowsiness Detection System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 129–35. http://dx.doi.org/10.22214/ijraset.2022.42109.

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Abstract: Recently, in addition to autonomous vehicle technology research and development, machine learning methods have been used to predict a driver's condition and emotions in order to provide information that will improve road safety. A driver's condition can be estimated not only by basic characteristics such as gender, age, and driving experience, but also by a driver's facial expressions, bio-signals, and driving behaviours. Recent developments in video processing using machine learning have enabled images obtained from cameras to be analysed with high accuracy. Therefore, based on the
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Singh,, Mr Ankit. "Real-Time Emotion Recognition System Using Facial Expressions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31021.

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This paper describes an emotion detection system based on real-time detection using image processing with human-friendly machine interaction. Facial detection has been around for decades. Taking a step ahead, Human expressions displayed by face and felt by the brain, captured via video, electric signal, or image form can be approximated. To recognize emotions via images or videos is a difficult task for the human eye and challenging for machines thus detection of emotion by a machine requires many image processing techniques for feature extraction. This paper proposes a system that has two mai
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Lee, Seongmin, Hyunse Yoon, Sohyun Park, Sanghoon Lee, and Jiwoo Kang. "Stabilized Temporal 3D Face Alignment Using Landmark Displacement Learning." Electronics 12, no. 17 (2023): 3735. http://dx.doi.org/10.3390/electronics12173735.

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One of the most crucial aspects of 3D facial models is facial reconstruction. However, it is unclear if face shape distortion is caused by identity or expression when the 3D morphable model (3DMM) is fitted into largely expressive faces. In order to overcome the problem, we introduce neural networks to reconstruct stable and precise faces in time. The reconstruction network extracts the 3DMM parameters from video sequences to represent 3D faces in time. Meanwhile, our displacement networks learn the changes in facial landmarks. In particular, the networks learn changes caused by facial identit
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Rocha Neto, Aluizio, Thiago P. Silva, Thais Batista, Flávia C. Delicato, Paulo F. Pires, and Frederico Lopes. "Leveraging Edge Intelligence for Video Analytics in Smart City Applications." Information 12, no. 1 (2020): 14. http://dx.doi.org/10.3390/info12010014.

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In smart city scenarios, the huge proliferation of monitoring cameras scattered in public spaces has posed many challenges to network and processing infrastructure. A few dozen cameras are enough to saturate the city’s backbone. In addition, most smart city applications require a real-time response from the system in charge of processing such large-scale video streams. Finding a missing person using facial recognition technology is one of these applications that require immediate action on the place where that person is. In this paper, we tackle these challenges presenting a distributed system
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Dissertations / Theses on the topic "Facial video processing"

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Söderström, Ulrik. "Very low bitrate facial video coding : based on principal component analysis." Licentiate thesis, Umeå University, Applied Physics and Electronics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-895.

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<p>This thesis introduces a coding scheme for very low bitrate video coding through the aid of principal component analysis. Principal information of the facial mimic for a person can be extracted and stored in an Eigenspace. Entire video frames of this persons face can then be compressed with the Eigenspace to only a few projection coefficients. Principal component video coding encodes entire frames at once and increased frame size does not increase the necessary bitrate for encoding, as standard coding schemes do. This enables video communication with high frame rate, spatial resolution and
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Doyle, Jason Emory. "Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87582.

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The wellbeing of horses is very important to their care takers, trainers, veterinarians, and owners. This thesis describes the development of a non-invasive image processing technique that allows for automatic detection and tracking of horse head and ear motion, respectively, in videos or camera feed, both of which may provide indications of horse pain, stress, or well-being. The algorithm developed here can automatically detect and track head motion and ear motion, respectively, in videos of a standing horse. Results demonstrating the technique for nine different horses are presented, where t
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Cheng, Xin. "Nonrigid face alignment for unknown subject in video." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/65338/1/Xin_Cheng_Thesis.pdf.

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Non-rigid face alignment is a very important task in a large range of applications but the existing tracking based non-rigid face alignment methods are either inaccurate or requiring person-specific model. This dissertation has developed simultaneous alignment algorithms that overcome these constraints and provide alignment with high accuracy, efficiency, robustness to varying image condition, and requirement of only generic model.
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Ouzar, Yassine. "Reconnaissance automatique sans contact de l'état affectif de la personne par fusion physio-visuelle à partir de vidéo du visage." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0076.

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La reconnaissance automatique de l'état affectif reste un sujet difficile en raison de la complexité des émotions / stress, qui impliquent des éléments expérientiels, comportementaux et physiologiques. Comme il est difficile de décrire l'état affectif de la personne de manière exhaustive en termes de modalités uniques, des études récentes se sont concentrées sur des stratégies de fusion afin d'exploiter la complémentarité des signaux multimodaux. L'objectif principal de cette thèse consiste à étudier la faisabilité d'une fusion physio-visuelle pour la reconnaissance automatique de l'état affec
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Emir, Alkazhami. "Facial Identity Embeddings for Deepfake Detection in Videos." Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170587.

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Forged videos of swapped faces, so-called deepfakes, have gained a  lot  of  attention in recent years. Methods for automated detection of this type of manipulation are also seeing rapid progress in their development. The purpose of this thesis work is to evaluate the possibility and effectiveness of using deep embeddings from facial recognition networks as base for detection of such deepfakes. In addition, the thesis aims to answer whether or not the identity embeddings contain information that can be used for detection while analyzed over time and if it is suitable to include information abo
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Skalban, Yvonne. "Automatic generation of factual questions from video documentaries." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/314607.

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Questioning sessions are an essential part of teachers’ daily instructional activities. Questions are used to assess students’ knowledge and comprehension and to promote learning. The manual creation of such learning material is a laborious and time-consuming task. Research in Natural Language Processing (NLP) has shown that Question Generation (QG) systems can be used to efficiently create high-quality learning materials to support teachers in their work and students in their learning process. A number of successful QG applications for education and training have been developed, but these foc
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Baccouche, Moez. "Apprentissage neuronal de caractéristiques spatio-temporelles pour la classification automatique de séquences vidéo." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00932662.

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Cette thèse s'intéresse à la problématique de la classification automatique des séquences vidéo. L'idée est de se démarquer de la méthodologie dominante qui se base sur l'utilisation de caractéristiques conçues manuellement, et de proposer des modèles qui soient les plus génériques possibles et indépendants du domaine. Ceci est fait en automatisant la phase d'extraction des caractéristiques, qui sont dans notre cas générées par apprentissage à partir d'exemples, sans aucune connaissance a priori. Nous nous appuyons pour ce faire sur des travaux existants sur les modèles neuronaux pour la recon
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Lin, Jie-Zhua, and 林界專. "Driver Smoking Behavior Detection with Facial Video Processing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/22527977596947216050.

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碩士<br>國立中興大學<br>電機工程學系所<br>103<br>Researches and analyses from the US bureau of safety experts shows that the probability of car accidents for smokers is 1.5 times larger than that for non-smokers. The United Kingdom and Germany experts believe that the 5% of car accidents are related to smoking while driving. According to the US experts, smoking can lead to three driving hazards: reduced vision, distracting, and odors stimulations. People need a high degree of attention and a clear vision while driving, and the smoke may irritate eyes and respiratory tract, and then the vision will be blurre
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Arpino, Vincent J. "An assessment of facial profile preference of surgical patients using video imaging." 1996. http://catalog.hathitrust.org/api/volumes/oclc/48079456.html.

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Dahmane, Mohamed. "Analyse de mouvements faciaux à partir d'images vidéo." Thèse, 2011. http://hdl.handle.net/1866/7120.

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Lors d'une intervention conversationnelle, le langage est supporté par une communication non-verbale qui joue un rôle central dans le comportement social humain en permettant de la rétroaction et en gérant la synchronisation, appuyant ainsi le contenu et la signification du discours. En effet, 55% du message est véhiculé par les expressions faciales, alors que seulement 7% est dû au message linguistique et 38% au paralangage. L'information concernant l'état émotionnel d'une personne est généralement inférée par les attributs faciaux. Cependant, on ne dispose pas vraiment d'instruments de mesur
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Books on the topic "Facial video processing"

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Forchheimer, Robert, and Igor S. Pandzic. MPEG-4 Facial Animation. Wiley & Sons, Incorporated, John, 2003.

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Colmenarez, Antonio J. Facial Analysis from Continuous Video with Applications to Human-Computer Interface. Springer, 2013.

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Forchheimer, Robert, and Igor S. Pandzic. MPEG-4 Facial Animation: The Standard, Implementation and Applications. Wiley & Sons, Incorporated, John, 2003.

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Forchheimer, Robert, and Igor S. Pandzic. MPEG-4 Facial Animation: The Standard, Implementation and Applications. Wiley & Sons, Incorporated, John, 2007.

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(Editor), Igor S. Pandzic, and Robert Forchheimer (Editor), eds. MPEG-4 Facial Animation: The Standard, Implementation and Applications. Wiley, 2002.

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Forchheimer, Robert, and Igor S. Pandzic. MPEG-4 Facial Animation: The Standard, Implementation and Applications. Wiley & Sons, Incorporated, John, 2003.

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Dobbs, Darris, and Bill Fleming. Animating Facial Features & Expressions. Charles River Media, 1998.

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Xiong, Ziyou, Antonio J. Colmenarez, and T.-S. Huang. Facial Analysis from Continuous Video with Applications to Human-Computer Interface (International Series on Biometrics). Springer, 2004.

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Book chapters on the topic "Facial video processing"

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Boccignone, Giuseppe, Vittorio Cuculo, Giuliano Grossi, Raffaella Lanzarotti, and Raffaella Migliaccio. "Virtual EMG via Facial Video Analysis." In Image Analysis and Processing - ICIAP 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68560-1_18.

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Lin, Chenhan, Fei Long, Junfeng Yao, Ming-Ting Sun, and Jinsong Su. "Learning Spatiotemporal and Geometric Features with ISA for Video-Based Facial Expression Recognition." In Neural Information Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70090-8_45.

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Clippingdale, Simon, and Mahito Fujii. "Face Recognition for Video Indexing: Randomization of Face Templates Improves Robustness to Facial Expression." In Visual Content Processing and Representation. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39798-4_7.

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Ouzar, Yassine, Lynda Lagha, Frédéric Bousefsaf, and Choubeila Maaoui. "Multimodal Stress State Detection from Facial Videos Using Physiological Signals and Facial Features." In Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37745-7_10.

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Wang, Chao, Yunhong Wang, and Zhaoxiang Zhang. "Incremental Learning of Patch-Based Bag of Facial Words Representation for Online Face Recognition in Videos." In Advances in Multimedia Information Processing – PCM 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34778-8_1.

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Weismayer, Christian, and Ilona Pezenka. "Cross-Cultural Differences in Emotional Response to Destination Commercials." In Information and Communication Technologies in Tourism 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58839-6_5.

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AbstractIn this paper we examine whether cultural characteristics lead to different emotion expressions whilst watching tourist destination ads via digital media, and thus, ads might be perceived differently depending on the country of origin of the viewer. To test this assumption, participants from two different countries, located on two different continents, Austria/Europe, and Colombia/South America, are exposed to a destination ad. Their faces are recorded and post-processing analysis on the recorded videos using the AFFDEX algorithm, that is capable of inferring emotions based on the faci
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Waters, Keith, and Demetri Terzopoulos. "The computer synthesis of expressive faces." In Processing the Facial Image. Oxford University PressOxford, 1992. http://dx.doi.org/10.1093/oso/9780198522614.003.0013.

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Abstract This paper presents a methodology for the computer synthesis of realistic faces capable of expressive articulations. A sophisticated three-dimensional model of the human face is developed that incorporates a physical model of facial tissue with an anatomical model of facial muscles. The tissue and muscle models are generic, in that their structures are independent of specific facial geometries. To synthesize specific faces, these models are automatically mapped onto geometrically accurate polygonal facial representations constructed by photogrammetry of stereo facial images or by non-
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Ji, Yi, and Khalid Idrissi. "Automatic Facial Expression Recognition by Facial Parts Location with Boosted-LBP." In Intelligent Computer Vision and Image Processing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3906-5.ch004.

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This paper proposes an automatic facial expression recognition system, which uses new methods in both face detection and feature extraction. In this system, considering that facial expressions are related to a small set of muscles and limited ranges of motions, the facial expressions are recognized by these changes in video sequences. First, the differences between neutral and emotional states are detected. Faces can be automatically located from changing facial organs. Then, LBP features are applied and AdaBoost is used to find the most important features for each expression on essential faci
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Fatima, Eram, Ankit Kumar, and Anil Kumar Singh. "Face Recognition using Convolutional Neural Network Algorithms." In Artificial intelligence and Multimedia Data Engineering. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815196443123010007.

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Biometric applications have massive demand in today’s era. The areas of applications are mostly linked with the security of the system. Biometric features are regarded as the primary resource for security purposes due to their own distinctiveness and non-volatile essence. System authentication using biometrics is considered to be a sophisticated technology. Noise effect inducts variation in the biometric subject that causes an adverse impact on establishing the recognition. The proposed model supported the development of an effective method for performing facial biometric feature recognition.
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Rahman Hamidur, Ahmed Mobyen Uddin, and Begum Shahina. "Non-Contact Heart Rate Monitoring Using Lab Color Space." In Studies in Health Technology and Informatics. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-653-8-46.

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Research progressing during the last decade focuses more on non-contact based systems to monitor Heart Rate (HR) which are simple, low-cost and comfortable to use. Most of the non-contact based systems are using RGB videos which is suitable for lab environment. However, it needs to progress considerably before they can be applied in real life applications. As luminance (light) has significance contribution on RGB videos HR monitoring using RGB videos are not efficient enough in real life applications in outdoor environment. This paper presents a HR monitoring method using Lab color facial vide
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Conference papers on the topic "Facial video processing"

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MBAYE, Serigne Fallou, Abdou Khadre DIOP, and Cherif Bachir DEME. "Survey on emotion recognition systems based on facial expressions combined with neurological and cardiac signals." In The 8th International Conference on Video and Image Processing, edited by Xuefeng Liang. SPIE, 2025. https://doi.org/10.1117/12.3059148.

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Wakayama, Yuta, Daniel Elson, Filippos Balasis, Shohei Beppu, Noboru Yoshikane, and Takehiro Tsuritani. "Unlocking the Potential of Ultrawide O-Band Coherent DWDM Fiber Transmission." In Signal Processing in Photonic Communications. Optica Publishing Group, 2024. https://doi.org/10.1364/sppcom.2024.spm3g.3.

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This presentation delves into our latest research and hurdles in creating high-capacity O-band transmission systems, facing greater nonlinear interference and fiber attenuation than the C-band, with non-consistent behavior across wavelengths. Full-text article not available; see video presentation
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Vu, Quoc Hoan, and Priyanka Singh. "Exploiting Correlation Between Facial Action Units for Detecting Deepfake Videos." In 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2024. http://dx.doi.org/10.1109/mipr62202.2024.00106.

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Panigrahi, Arpita, Hemant Sharma, and Atin Mukherjee. "Investigation on different color spaces for non-contact heart rate monitoring using facial videos." In 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2025. https://doi.org/10.1109/ispcc66872.2025.11039565.

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Kalayci, Sacide, Hazim Kemal Ekenel, and Hatice Gunes. "Automatic analysis of facial attractiveness from video." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025851.

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Chen, Xin, Chen Cao, Zehao Xue, and Wei Chu. "Joint Audio-Video Driven Facial Animation." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8461502.

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Liu, Sijiang, Yifeng Zhou, Wensha Tian, Chengrong Yu, and Bo Jiang. "An automatic facial beautification method for video post-processing." In Third International Workshop on Pattern Recognition, edited by Xudong Jiang, Guojian Chen, and Zhenxiang Chen. SPIE, 2018. http://dx.doi.org/10.1117/12.2501849.

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Modak, Masooda, Namrata Patel, and Kalyani Pampattiwar. "Facial Expression based Assistant for Interviewee using Video Processing." In 2023 6th International Conference on Advances in Science and Technology (ICAST). IEEE, 2023. http://dx.doi.org/10.1109/icast59062.2023.10454925.

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Saeed, Usman, and Jean-Luc Dugelay. "Person Recognition Form Video using Facial Mimics." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366724.

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Chen, Bo, and Klara Nahrstedt. "FIS: Facial Information Segmentation for Video Redaction." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2019. http://dx.doi.org/10.1109/mipr.2019.00071.

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