Double OptconNet architecture based facial expression recognition in video processing

References

• Perveen N, Roy D, Chalavadi KM. Facial expression recognition in videos using dynamic Kernels. IEEE Transactions on Image Processing. 2020;29:8316–8325. doi:10.1109/TIP.2020.3011846
   Web of Science ®Google Scholar
• Abdullah M, Ahmad M, Han D. Facial expression recognition in videos: an CNN-LSTM based model for video classification. In 2020 International Conference on Electronics, Information, and Communication (ICEIC), IEEE. 2020: 1–3.
   Google Scholar
• Gogić I, Manhart M, Pandžić IS, et al. Fast facial expression recognition using local binary features and shallow neural networks. Vis Comput. 2020;36(1):97–112. doi:10.1007/s00371-018-1585-8
   Web of Science ®Google Scholar
• Meng D, Peng X, Wang K, et al. Frame attention networks for facial expression recognition in videos. In 2019 IEEE International Conference on Video Processing (ICIP), IEEE. 2019: 3866–3870.
   Google Scholar
• Pan X, Zhang S, Guo WP, et al. Video-based facial expression recognition using deep temporal–spatial networks. IETE Technical Review. 2020;37(4):402–409. doi:10.1080/02564602.2019.1645620
   Web of Science ®Google Scholar
• Miyoshi R, Nagata N, Hashimoto M. Facial-expression recognition from video using enhanced convolutional lstm. In 2019 Digital Image Computing: techniques and Applications (DICTA), IEEE. 2019: 1–6.
   Google Scholar
• Albrici T, Fasounaki M, Salimi SB, et al. G2-ver: geometry guided model ensemble for video-based facial expression recognition. In 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), IEEE. 2019: 1–6.
   Google Scholar
• Zhen P, Chen HB, Cheng Y, et al. Fast video facial expression recognition by a deeply tensor-compressed LSTM neural network for mobile devices. ACM Transactions on Internet of Things. 2021;2(4):1–26. doi:10.1145/3464941
   Google Scholar
• Haddad J, Lézoray O, Hamel P. 3d-cnn for facial emotion recognition in videos. In International Symposium on Visual Computing. Springer, Cham. 2020: 298–309.
   Google Scholar
• Yu M, Zheng H, Peng Z, et al. Facial expression recognition based on a multi-task global-local network. Pattern Recognit Lett. 2020;131:166–171. doi:10.1016/j.patrec.2020.01.016
   Web of Science ®Google Scholar
• Guo JM, Huang PC, Chang LY. A hybrid facial expression recognition system based on recurrent neural network. In 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). 2019: 1–8.
   Google Scholar
• Lee MK, Choi DY, Kim DH, et al. Visual scene-aware hybrid neural network architecture for video-based facial expression recognition. In 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), IEEE. 2019: 1–8.
   Google Scholar
• Yan H. Collaborative discriminative multi-metric learning for facial expression recognition in video. Pattern Recognit. 2018;75:33–40. doi:10.1016/j.patcog.2017.02.031
   Web of Science ®Google Scholar
• Zhang S, Pan X, Cui Y, et al. Learning affective video features for facial expression recognition via hybrid deep learning. IEEE Access. 2019;7:32297–32304. doi:10.1109/ACCESS.2019.2901521
   Web of Science ®Google Scholar
• Zhao L, Wang Z, Zhang G. Facial expression recognition from video sequences based on spatial-temporal motion local binary pattern and gabor multiorientation fusion histogram. Math Probl Eng. 2017;2017.
   PubMed Web of Science ®Google Scholar
• Pan X. Fusing HOG and convolutional neural network spatial–temporal features for video-based facial expression recognition. IET Image Processing. 2020;14(1):176–182. doi:10.1049/iet-ipr.2019.0293
   Web of Science ®Google Scholar
• Samadiani N, Huang G, Cai B, et al. A review on automatic facial expression recognition systems assisted by multimodal sensor data. Sensors. 2019;19(8):1863. doi:10.3390/s19081863
   PubMed Web of Science ®Google Scholar
• Jeong M, Ko BC. Driver's facial expression recognition in real-time for safe driving. Sensors. 2018;18(12):4270. doi:10.3390/s18124270
   PubMed Web of Science ®Google Scholar
• Yaddaden Y, Adda M, Bouzouane A, et al. Facial expression recognition from video using geometric features 2017; 4–6.
   Google Scholar
• Farooq F, Ahmed J, Zheng L. Facial expression recognition using hybrid features and self-organizing maps. In 2017 IEEE International Conference on Multimedia and Expo (ICME). 2017: 409–414. doi:10.1109/ICME.2017.8019503
   Google Scholar
• Prasad TE. An efficient facial expression recognition system using novel image classification by comparing CNN over Res Net. J Pharm Negat. 2022: 1622–1629.
   Google Scholar
• Dharanya V, Raj ANJ, Gopi VP. Facial expression recognition through person-wise regeneration of expressions using auxiliary classifier generative adversarial network (AC-GAN) based model. J Vis Commun Image Represent. 2021;77(103110.
   Google Scholar
• Yao L, He S, Su K, et al. Facial expression recognition based on spatial and channel attention mechanisms. Wirel Pers Commun. 2022: 1–18.
   Web of Science ®Google Scholar
• Tureke Y, Xu W, Zhao J. Alexnet based facial expression classification. In international conference on cloud computing. Performance Computing, and Deep Learning (CCPCDL 2022) SPIE. 2022;12287:521–527.
   Google Scholar
• Li B. Facial expression recognition by DenseNet-121. In Multi-Chaos, fractal and multi-fractional artificial intelligence of different complex systems, Academic Press 2022; 263–276.
   Google Scholar
• Tian Y, Han T and Wu L. Teacher facial expression recognition based on GoogLeNet-InceptionV3 CNN model. In Artificial intelligence in education and teaching assessment, Springer, Singapore 2021; 69-78.
   Google Scholar
• Gupta R, Vishwamitra LK. Facial expression recognition from videos using CNN and feature aggregation. Materials Today: Proceedings. 2021.
   Google Scholar
• Gupta O, Raviv D, Raskar R. Multi-velocity neural networks for facial expression recognition in videos. IEEE Trans Affect Comput. 2019;10(2):290–296. doi:10.1109/TAFFC.2017.2713355
   Web of Science ®Google Scholar
• Yao Y, Huang D, Yang X, et al. Texture and geometry scattering representation-based facial expression recognition in 2D+ 3D videos: ACM transactions on multimedia computing. Communications, and Applications (TOMM. 2018;14(1):1–23.
   Google Scholar
• Uddin MZ, Hassan MM, Almogren A, et al. A facial expression recognition system using robust face features from depth videos and deep learning. Computers & Electrical Engineering. 2017;63:114–125. doi:10.1016/j.compeleceng.2017.04.019
   Web of Science ®Google Scholar
• Kopaczka M, Kolk R, Merhof D. A fully annotated thermal face database and its application for thermal facial expression recognition. In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). 2018: 1–6.
   Google Scholar
• Liu X, Ge Y, Yang C, et al. Adaptive metric learning with deep neural networks for video-based facial expression recognition. J Electron Imaging. 2018;27(1):013022.
   Web of Science ®Google Scholar
• Uddin MZ, Khaksar W, Torresen J. Facial expression recognition using salient features and convolutional neural network. IEEE Access. 2017;5:26146–26161. doi:10.1109/ACCESS.2017.2777003
   Web of Science ®Google Scholar
• Liang L, Lang C, Li Y, et al. Fine-grained facial expression recognition in the wild. IEEE Transactions on Information Forensics and Security. 2021;16:482–494. doi:10.1109/TIFS.2020.3007327
   Web of Science ®Google Scholar
• Sun N, Li Q, Huan R, et al. Deep spatial-temporal feature fusion for facial expression recognition in static images. Pattern Recognit Lett. 2019;119:49–61. doi:10.1016/j.patrec.2017.10.022
   Web of Science ®Google Scholar
• Mlakar U, Fister I, Brest J, et al. Multi-objective differential evolution for feature selection in facial expression recognition systems. Expert Syst Appl. 2017;89:129–137. doi:10.1016/j.eswa.2017.07.037
   Web of Science ®Google Scholar
• Yao F, Qiu L. Facial expression recognition based on convolutional neural network fusion SIFT features of mobile virtual reality. Wirel Commun Mob Comput. 2021;2021.
   PubMed Web of Science ®Google Scholar
• Sajjad M, Nasir M, Ullah FUM, et al. Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services. Inf Sci. 2019;479:416–431. doi:10.1016/j.ins.2018.07.027
   Web of Science ®Google Scholar
• Alyushin MV, Lyubshov AA. The viola-jones algorithm performance enhancement for a person's face recognition task in the long-wave infrared radiation range. In 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) 2018: 1813–1816.
   Google Scholar
• Naruei I, Keynia F. A new optimization method based on coot bird natural life model. Expert Syst Appl. 2021;115352.
   Google Scholar