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1606
Lifelogging
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cameras
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ICIP15(247-251)
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1512
Activity recognition; block matching; motion estimation
Activity recognition
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Market basket analysis, Egocentric vision, Multimodal analysis
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1706
Activity, detection
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Cameras
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Adaptation models, Biomedical monitoring, Data models,
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Egocentric Vision, Lifelogging, Personal locations, Temporal segmentation
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1809
Lifelogging, First-person, Image captioning, Diary, Privacy
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Wang, M.,
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First-Person Daily Activity Recognition With Manipulated Object
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1811
Proposals, Activity recognition, Feature extraction,
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1906
Activities of daily living aid healthcare.
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1909
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2001
Human motion, language, probabilistic modeling
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Human attention, Deep neural network, Attentional objects
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Data glove, Object recognition, Basic daily activities,
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2212
Videos, Virtual private networks, Visualization, Skeleton, Topology,
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2011
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IEEE DOI
2212
Physiology, Sensors, Emotion recognition, Biomedical monitoring,
Electroencephalography, Brain modeling, Feature extraction,
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Damen, D.[Dima],
UnweaveNet: Unweaving Activity Stories,
CVPR22(13760-13769)
IEEE DOI
2210
Representation learning, Instruction sets, Surveillance,
Memory management, Switches, Weaving, Pattern recognition,
Representation learning
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Xiang, W.M.[Wang-Meng],
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L3D-IVU22(3920-3929)
IEEE DOI
2210
Location awareness, Codes, Computational modeling, Mouth, Manuals
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Zhou, L.T.[Li-Ting],
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Multimodal Embedding for Lifelog Retrieval,
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2203
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MMMod22(II:479-484).
Springer DOI
2203
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Tran, L.D.[Ly-Duyen],
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LLQA: Lifelog Question Answering Dataset,
MMMod22(I:217-228).
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2203
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2203
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FLAR: A Unified Prototype Framework for Few-sample Lifelong Active
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ICCV21(15374-15383)
IEEE DOI
2203
Training, Visualization, Prototypes, Reinforcement learning,
Intelligent agents, Task analysis,
Transfer/Low-shot/Semi/Unsupervised Learning
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Zhang, H.M.[Hong-Ming],
Huo, Y.T.[Yin-Tong],
Zhao, X.R.[Xin-Ran],
Song, Y.Q.[Yang-Qiu],
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Learning Contextual Causality between Daily Events from
Time-consecutive Images,
CiV21(1752-1755)
IEEE DOI
2109
Training, Visualization, Annotations,
Knowledge acquisition, Pattern recognition
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Keystroke Dynamics as Part of Lifelogging,
MMMod21(II:183-195).
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2106
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Gurrin, C.[Cathal],
Graph-based Indexing and Retrieval of Lifelog Data,
MMMod21(II:256-267).
Springer DOI
2106
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Nguyen, D.H.[Dang-Hieu],
Nguyen-Tai, T.L.[Tan-Loc],
Nguyen, M.T.[Minh-Tam],
Nguyen, T.B.[Thanh-Binh],
Dao, M.S.[Minh-Son],
MNR-AIR: An Economic and Dynamic Crowdsourcing Mechanism to Collect
Personal Lifelog and Surrounding Environment Dataset. A Case Study in
Ho Chi Minh City, Vietnam,
MMMod21(II:206-217).
Springer DOI
2106
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Kostavelis, I.[Ioannis],
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Tzovaras, D.[Dimitrios],
Towards life-long mapping of dynamic environments using temporal
persistence modeling,
ICPR21(10480-10485)
IEEE DOI
2105
Measurement, Simultaneous localization and mapping, Navigation,
Service robots, Predictive models, Probabilistic logic, Prediction algorithms
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Takahashi, M.[Masami],
Kohjima, M.[Masahiro],
Kurashima, T.[Takeshi],
Toda, H.[Hiroyuki],
Can Reinforcement Learning Lead to Healthy Life?:
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ICPR21(4865-4872)
IEEE DOI
2105
Reinforcement learning, Data models, Planning, Timing, Pattern recognition
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2011
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Thonnat, M.,
Bremond, F.,
Looking deeper into Time for Activities of Daily Living Recognition,
WACV20(487-496)
IEEE DOI
2006
Videos, Feature extraction,
Computational modeling, Motion segmentation, Image segmentation, Solid modeling
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Giannakeris, P.[Panagiotis],
Meditskos, G.[Georgios],
Avgerinakis, K.[Konstantinos],
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Kompatsiaris, I.[Ioannis],
Real-time Recognition of Daily Actions Based on 3d Joint Movements and
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MMMod20(II:601-613).
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2003
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Gurrin, C.[Cathal],
Baseline Analysis of a Conventional and Virtual Reality Lifelog
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MMMod20(II:412-423).
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2003
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Gurrin, C.[Cathal],
Schoeffmann, K.[Klaus],
Joho, H.[Hideo],
Munzer, B.[Bernd],
Albatal, R.[Rami],
Hopfgartner, F.[Frank],
Zhou, L.T.[Li-Ting],
Dang-Nguyen, D.T.[Duc-Tien],
A Test Collection for Interactive Lifelog Retrieval,
MMMod19(I:312-324).
Springer DOI
1901
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Duane, A.[Aaron],
Gurrin, C.[Cathal],
User Interaction for Visual Lifelog Retrieval in a Virtual Environment,
MMMod19(I:239-250).
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1901
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Fouhey, D.F.,
Kuo, W.,
Efros, A.A.,
Malik, J.,
From Lifestyle VLOGs to Everyday Interactions,
CVPR18(4991-5000)
IEEE DOI
1812
Dataset, Action.
HTML Version. Videos, YouTube, Task analysis, Cameras, Internet, Benchmark testing
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Maeda, H.[Haruhisa],
Saiki, S.[Sachio],
Nakamura, M.[Masahide],
Yasuda, K.[Kiyoshi],
Log4Care: Unified Event Logging Service for Personalized Care,
DHM18(466-477).
Springer DOI
1807
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Tayyub, J.,
Hawasly, M.,
Hogg, D.C.,
Cohn, A.G.,
Learning Hierarchical Models of Complex Daily Activities from
Annotated Videos,
WACV18(1633-1641)
IEEE DOI
1806
grammars, image annotation, inference mechanisms,
learning (artificial intelligence), stochastic processes,
Videos
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Xu, Y.D.[Yang-Di],
Bull, D.R.[David R.],
Damen, D.[Dima],
Unsupervised Long-Term Routine Modelling Using Dynamic Bayesian
Networks,
DICTA17(1-8)
IEEE DOI
1804
routine patterns for a single person from long- term visual data.
Bayes methods, belief networks, data mining, feature extraction,
image classification, image colour analysis,
Visualization
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Hu, F.Y.[Fei-Yan],
Smeaton, A.F.[Alan F.],
Image Aesthetics and Content in Selecting Memorable Keyframes from
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MMMod18(I:608-619).
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1802
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Lifelog Exploration Prototype in Virtual Reality,
MMMod18(II:377-380).
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1802
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Gurrin, C.[Cathal],
Approaches for Event Segmentation of Visual Lifelog Data,
MMMod18(I:581-593).
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1802
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Khalid, E.A.,
Radeva, P.,
Brahim, A.,
Mohammed, O.,
Using content-based image retrieval to automatically assess day
similarity in visual lifelogs,
ISCV17(1-9)
IEEE DOI
1710
Cameras, Data mining, Heuristic algorithms, Histograms,
Image color analysis, Time series analysis, Visualization, DTW, EDUB,
Lifelogging, day similarity, similarity, measure
BibRef
Hassan, E.T.,
Hasan, R.,
Shaffer, P.,
Crandall, D.,
Kapadia, A.,
Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos,
PRIV17(1333-1342)
IEEE DOI
1709
Art, Image color analysis, Image edge detection,
Image segmentation, Privacy, Semantics, Videos
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Fan, C.Y.[Chen-You],
Crandall, D.J.[David J.],
DeepDiary: Automatically Captioning Lifelogging Image Streams,
Egocentric16(I: 459-473).
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1611
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Crispim, C.F.,
Koperski, M.,
Cosar, S.,
Bremond, F.,
Semi-supervised understanding of complex activities from temporal
concepts,
AVSS16(80-87)
IEEE DOI
1611
Complexity theory
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Das, S.,
Dai, R.,
Koperski, M.,
Minciullo, L.,
Garattoni, L.,
Bremond, F.,
Francesca, G.,
Toyota Smarthome: Real-World Activities of Daily Living,
ICCV19(833-842)
IEEE DOI
2004
home computing, image motion analysis, image recognition,
neural nets, spatiotemporal phenomena, video signal processing,
Feature extraction
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Negin, F.,
Koperski, M.,
Crispim, C.F.,
Bremond, F.,
Cosar, S.,
Avgerinakis, K.,
A hybrid framework for online recognition of activities of daily
living in real-world settings,
AVSS16(37-43)
IEEE DOI
1611
Computational modeling;Histograms;Testing;Training;Trajectory;Videos
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Qiu, Z.W.[Zheng-Wei],
Gurrin, C.[Cathal],
Smeaton, A.F.[Alan F.],
Evaluating Access Mechanisms for Multimodal Representations of Lifelogs,
MMMod16(I: 574-585).
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1601
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Hinbarji, Z.[Zaher],
Albatal, R.[Rami],
O'Connor, N.E.[Noel E.],
Gurrin, C.[Cathal],
LoggerMan, a Comprehensive Logging and Visualization Tool to Capture
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MMMod16(II: 342-347).
Springer DOI
1601
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Salim, M.H.M.[Mohamad Hidir Mhd],
Ali, N.M.[Nazlena Mohamad],
Lee, H.W.[Hyo-Won],
Understanding the User Perception in Visual Lifelogging:
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IVIC15(494-502).
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1511
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Augereau, O.[Olivier],
Kise, K.[Koichi],
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A proposal of a document image reading-life log based on document
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ICDAR15(246-250)
IEEE DOI
1511
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Zhou, L.J.M.[Li-Juan Marissa],
Moynagh, B.[Brian],
Zhou, L.T.[Li-Ting],
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Gurrin, C.[Cathal],
MemLog, an Enhanced Lifelog Annotation and Search Tool,
MMMod15(II: 303-306).
Springer DOI
1501
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Meyer, J.[Jochen],
Fortmann, J.[Jutta],
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Making Lifelogging Usable: Design Guidelines for Activity Trackers,
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1501
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Towards Consent-Based Lifelogging in Sport Analytic,
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Fast Human Activity Recognition in Lifelogging,
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MMMod14(I: 400-411).
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1405
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Lifelog Scene Change Detection Using Cascades of Audio and Video
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1504
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Human Daily Action Analysis with Multi-view and Color-Depth Data,
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RGBD-HuDaAct:
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Intruders, Intrusions, Intrusion Detection, Threats .