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Validating the Detection of Everyday Concepts in Visual Lifelogs [chapter]

Daragh Byrne, Aiden R. Doherty, Cees G. M. Snoek, Gareth G. F. Jones, Alan F. Smeaton
2008 Lecture Notes in Computer Science  
Within this work, we explore the applicability of semantic concept detection, a method often used within video retrieval, on the novel domain of visual lifelogs.  ...  By doing so it determines the probability of a concept's presence. We apply detection of 27 everyday semantic concepts on a lifelog collection composed of 257,518 SenseCam images from 5 users.  ...  We also would like to extend our thanks to the participants who made their personal lifelog collection available for these experiments, and who partook in the annotation effort.  ... 
doi:10.1007/978-3-540-92235-3_4 fatcat:7ac4m233bze5lc3qag6zv3xlwu

Everyday concept detection in visual lifelogs: validation, relationships and trends

Daragh Byrne, Aiden R. Doherty, Cees G. M. Snoek, Gareth J. F. Jones, Alan F. Smeaton
2009 Multimedia tools and applications  
Within this work, we explore the applicability of semantic concept detection, a method often used within video retrieval, on the domain of visual lifelogs.  ...  By doing so it determines the probability of a concept's presence. We apply detection of 27 everyday semantic concepts on a lifelog collection composed of 257,518 SenseCam images from 5 users.  ...  This work is supported by the Irish Research Council for Science Engineering and Technology, by Science Foundation Ireland under grant 07/CE/I1147 and by the EU IST-CHORUS project.  ... 
doi:10.1007/s11042-009-0403-8 fatcat:l4ez4ylifbbjrnuwrb3dybjgyq

Enhancing the detection of concepts for visual lifelogs using contexts instead of ontologies

Peng Wang, Alan F. Smeaton, Yuchao Zhang, Bo Deng
2014 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)  
The resulting images have a diversity of everyday concepts which severely degrades the performance of concept detection.  ...  In visual lifelogging, part of the quantified-self movement, wearable cameras can automatically record most aspects of daily living.  ...  Acknowledgement: The research reported in this paper was funded by Science Foundation Ireland under grant S-FI/12/RC/2289.  ... 
doi:10.1109/icmew.2014.6890570 dblp:conf/icmcs/WangSZD14 fatcat:2tcjxdgeordyxccyxnocl3ziwi

Improving the classification of quantified self activities and behaviour using a fisher kernel

Peng Wang, Lifeng Sun, Shiqiang Yang, Alan F. Smeaton
2015 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15  
Experiments show the effectiveness of this method in improving classification accuracy, especially when the semantic concepts are initially detected with low degrees of accuracy.  ...  Visual recording of everyday human activities and behaviour over the long term is now feasible and with the widespread use of wearable devices embedded with cameras this offers the potential to gain real  ...  The technology of automatic detection of concepts enables searching through visual lifelogs based on semantic attributes and this kind of contentbased search on visual media has been validated as use-ful  ... 
doi:10.1145/2800835.2800947 dblp:conf/huc/WangSYS15 fatcat:jx3esgqjhvb6rj72zzenngkzny

Using visual lifelogs to automatically characterize everyday activities

Peng Wang, Alan F. Smeaton
2013 Information Sciences  
Current applications of visual lifelogging are built around remembrance or searching for specific events from the past.  ...  The purpose of the work reported here is to extend this to allow us to characterise and measure the occurrence of everyday activities of the wearer and in so doing to gain insights into the wearer's everyday  ...  Acknowledgements This work was supported by Science Foundation Ireland under grant number 07/CE/I1147 and by the China Scholarship Council, neither of which had any involvement in the work, in writing  ... 
doi:10.1016/j.ins.2012.12.028 fatcat:q6wqoqx4q5bpbooagp6z6tp2d4

Semantics-based selection of everyday concepts in visual lifelogging

Peng Wang, Alan F. Smeaton
2012 International Journal of Multimedia Information Retrieval  
Using semantic concepts to manage lifelog data relies on the fusion of automatically detected concepts to provide a better understanding of the lifelog data.  ...  We argue that in noisy domains such as lifelogging, the management of data needs to include semantic reasoning in order to deduce a set of concepts to represent lifelog content for applications like searching  ...  In this paper, we investigate the definition of everyday concepts and their automatic detection from visual lifelogs in order to satisfy the requirements for indexing everyday multimedia lifelogs.  ... 
doi:10.1007/s13735-012-0010-8 fatcat:lt3h4ui2kzadbnuhugmb4smhce

Creating salient summaries of home activity lifelog data

Matthew L. Lee
2010 Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems - CHI EA '10  
Keeping track of the fluctuations in functional abilities that elders experience is important for early detection of cognitive decline and maintaining independence.  ...  In this proposal, I describe my research in understanding how to design ubiquitous home sensor systems that can monitor how well individuals carry out everyday activities important for independence.  ...  In contrast to the initial concept validation field work, engaging stakeholders with real data will enable us to address research question #3 by observing how the data actually impacts the practices of  ... 
doi:10.1145/1753846.1753885 dblp:conf/chi/Lee10 fatcat:ymfqlb5vazdj3ebzrjsmx6utma

Semantically Enhancing Multimedia Lifelog Events [chapter]

Peng Wang, Alan Smeaton, Alessandra Mileo
2014 Lecture Notes in Computer Science  
Lifelogging is the digital recording of our everyday behaviour in order to identify human activities and build applications that support daily life.  ...  In this paper we demonstrate the potential of semantic web technologies for analysing lifelogs by automatically augmenting descriptions of lifelog events.  ...  Lifelogging is the process of sensing and digitally recording our everyday behaviour, capturing a person's experiences in the form of events, states and relationships.  ... 
doi:10.1007/978-3-319-13168-9_17 fatcat:pxmtravzvjd43d2vxmxma6guna

Voxento: A Prototype Voice-controlled Interactive Search Engine for Lifelogs

Ahmed Alateeq, Mark Roantree, Cathal Gurrin
2020 Proceedings of the Third Annual Workshop on Lifelog Search Challenge  
Based on a standard text-based retrieval methodology, the novelty of Voxento is in the interactive voice facility that allows a user to interact with a personal lifelog using simple voice commands.  ...  The version of Voxento described in this paper has been optimised for use with a desktop computer in order to be competitive at the LSC'20 challenge.  ...  ACKNOWLEDGMENTS We acknowledge the support of Science Foundation Ireland and the Insight Centre for Data Analytics through the grant number SFI/12/RC/2289-P2 and the Ministry of Education in Saudi Arabia  ... 
doi:10.1145/3379172.3391728 dblp:conf/mir/AlateeqRG20 fatcat:7trcpfprzna3xdnq3pe2dh2lya

Experiments in Lifelog Organisation and Retrieval at NTCIR [chapter]

Cathal Gurrin, Hideo Joho, Frank Hopfgartner, Liting Zhou, Rami Albatal, Graham Healy, Duc-Tien Dang Nguyen
2020 Evaluating Information Retrieval and Access Tasks  
In this chapter, a motivation is given for the Lifelog task and a review of progress since NTCIR-12 is presented.  ...  The Lifelog task at NTCIR was a comparative benchmarking exercise with the aim of encouraging research into the organisation and retrieval of data from multimodal lifelogs.  ...  Acknowledgements Many thanks to the editors and all authors of this book, and to the present and past organisers and participants of the NTCIR tasks.  ... 
doi:10.1007/978-981-15-5554-1_13 fatcat:fhsvm3teibelblxn2qapgfbhue

Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog

Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Mathias Lux, Minh-Triet Tran, Cathal Gurrin, Duc-Tien Dang-Nguyen
2020 Conference and Labs of the Evaluation Forum  
This paper describes the fourth edition of Lifelog challenges in ImageCLEF 2020.  ...  contain approximately 191,439 images with corresponding visual concepts and other related metadata.  ...  of the Visual Concepts table.  ... 
dblp:conf/clef/NinhLZPRHLTGD20 fatcat:7au6efuvqvhq5mkxl4nyink5ka

Toward Storytelling From Visual Lifelogging: An Overview

Marc Bolanos, Mariella Dimiccoli, Petia Radeva
2017 IEEE Transactions on Human-Machine Systems  
Visual lifelogging consists of acquiring images that capture the daily experiences of the user by wearing a camera over a long period of time.  ...  visual lifelogging.  ...  [21] , who successfully validated supervised concept recognition, referring to relevant objects or scenes as concepts.  ... 
doi:10.1109/thms.2016.2616296 fatcat:zbxjzfagjnhq3f2dej7poikf3m

What are the Limits to Time Series Based Recognition of Semantic Concepts? [chapter]

Peng Wang, Lifeng Sun, Shiqiang Yang, Alan F. Smeaton
2016 Lecture Notes in Computer Science  
Most concept recognition in visual multimedia is based on relatively simple concepts, things which are present in the image or video.  ...  Results show that though improving concept detection accuracies can enhance the recognition of time series based concepts, they do not need to be very accurate in order to characterize the dynamic evolution  ...  For lifelog activity recognition, the set of 85 everyday concepts investigated in [12] are used as semantic attributes.  ... 
doi:10.1007/978-3-319-27674-8_25 fatcat:g6mzrixd6fbs7gthgxr6eh76ge

Building a Disclosed Lifelog Dataset

Duc-Tien Dang-Nguyen, Liting Zhou, Rashmi Gupta, Michael Riegler, Cathal Gurrin
2017 Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17  
In this paper, we address the challenge of how to build a disclosed lifelog dataset by proposing the principles for building and sharing such types of data.  ...  Based on the proposed principles, we describe processes for how we built the benchmarking lifelog dataset for NTCIR-13 -Lifelog 2 tasks.  ...  By extracting visual concepts, we can see many potential applications by exploiting the lifelogs in the dataset.  ... 
doi:10.1145/3095713.3095736 dblp:conf/cbmi/Dang-NguyenZGRG17 fatcat:wvxlkqgnojfv7cadnyhgiskedi

The Smartphone As a Platform for Wearable Cameras in Health Research

Cathal Gurrin, Zhengwei Qiu, Mark Hughes, Niamh Caprani, Aiden R. Doherty, Steve E. Hodges, Alan F. Smeaton
2013 American Journal of Preventive Medicine  
Participants wore the smartphone for up to a day and the resulting lifelog data was both manually annotated and automatically analyzed for the presence of visual concepts.  ...  Conclusions: Many aspects of the functionality of a SenseCam can largely be replicated, and in some cases enhanced, by the ubiquitous smartphone platform.  ...  No financial disclosures were reported by the authors of this paper.  ... 
doi:10.1016/j.amepre.2012.11.010 pmid:23415130 fatcat:ivx64vbcqbbv5nvt7jkrsh7pji
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