Results 11 to 20 of about 97,519 (271)
Proceedings of the 30th ACM International Conference on Multimedia, 2022 Facial expression spotting is the preliminary step for micro- and macro-expression analysis. The task of reliably spotting such expressions in video sequences is currently unsolved. The current best systems depend upon optical flow methods to extract regional motion features, before categorisation of that motion into a specific class of facial movement.
Yap, Chuin Hon +6 more
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Weakly Supervised Micro- and Macro-Expression Spotting Based on Multi-Level Consistency
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Most micro- and macro-expression spotting methods in untrimmed videos suffer from the burden of video-wise collection and frame-wise annotation. Weakly-supervised expression spotting (WES) based on video-level labels can potentially mitigate the complexity of frame-level annotation while achieving fine-grained frame-level spotting.
Wang-Wang Yu +3 more
openaire +4 more sources
Micro-expression recognition (MER) has drawn increasing attention in recent years due to its potential applications in intelligent medical and lie detection. However, the shortage of annotated data has been the major obstacle to further improve deep-learning based MER methods.
Li, Hanting, Niu, Hongjing, Zhao, Feng
openaire +3 more sources
Macro-expression-guided micro-expression recognition: A motion similarity perspective
Pattern RecognitionChenquan Gan, Junhao Xiao, Ye Zhu
exaly +2 more sources
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset [PDF]
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020 With the growth of popularity of facial micro-expressions in recent years, the demand for long videos with micro- and macro-expressions remains high. Extended from SAMM, a micro-expressions dataset released in 2016, this paper presents SAMM Long Videos dataset for spontaneous micro- and macro-expressions recognition and spotting.
Yap, Chuin Hong +2 more
openaire +2 more sources
Frontiers in Neurorobotics, 2020 Microexpression is usually characterized by short duration and small action range, and the existing general expression recognition algorithms do not work well for microexpression.
Junli Gao +4 more
doaj +1 more source
A Study on Construction Method of Consensus Measure Space of Macro-seismic Anomalies [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 Macro-anomalies are so complex that it is difficult to carry out the systematic quantitative analysis macro-anomalies because it is lack of measure space. It’s more difficult to find the relationship between micro-anomalies and earthquakes. In the paper,
Weidan Wang, Chongfu Huang
doaj +1 more source
Sparse MDMO: learning a discriminative feature for micro-expression recognition [PDF]
, 2021 Micro-expressions are the rapid movements of facial muscles that can be used to reveal concealed emotions. Recognizing them from video clips has a wide range of applications and receives increasing attention recently.
Lai, Yukun, Li, Bing-Jun, Liu, Yong-Jin
core +2 more sources
A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition [PDF]
, 2019 The automatic recognition of micro-expression has been boosted ever since the successful introduction of deep learning approaches. As researchers working on such topics are moving to learn from the nature of micro-expression, the practice of using deep ...
Bi, Tao +5 more
core +2 more sources
Can You See What I See, Mata sebagai Objek Penciptaan Seni Fotografi Ekspresi
Jurnal Kajian Seni, 2017 The human eye holds a beauty potential that is rarely seen. In contrast to the eyes of animals such as insects and reptiles that are almost the same in the preparation and shape, the human eyes are composed of a different variety of patterns and textures
Handry Rochmad Dwi Happy +1 more
doaj +1 more source