Rashmi Gupta
ABSTRACT
Lifelogging is a research topic that is receiving increasing attention and although lifelog research has progressed in recent years, the concept of what represents a document in lifelog retrieval has not yet been sufficiently explored. Hence, the generation of multimodal lifelog documents is a fundamental concept that must be addressed. In this paper, I introduce my general perspective on generating documents in lifelogging and reflect on learnings from collecting multimodal lifelog data from a number of participants in a study on lifelog data organization. In addition, the main motivation behind document generation is proposed and the challenges faced while collecting data and generating documents are discussed in detail. Finally, a process for organizing the documents in lifelog data retrieval is proposed, which I intend to follow in my PhD research.
- {n. d.}. Microsoft's Computer Vision API. https://docs.microsoft.com/en-us/ azure/cognitive-services/computer-vision/category-taxonomy.Google Scholar
- Rami Albatal, Cathal Gurrin, Jiang Zhou, Yang Yang, Denise Carthy, and Na Li. 2013. Senseseer mobile-cloud-based Lifelogging framework. In ISTAS. IEEE, 144--146.Google Scholar
- Maarten den Braber. 2016. The Emergence of Quantified Self as a Data-driven Movement to Promote Health and Wellness. Proceedings of the first Workshop on Lifelogging Tools and Applications (Oct. 2016). http://dl.acm.org/citation.cfm? doid=2983576.2983584 Google ScholarDigital Library
- Martin Dodge and Rob Kitchin. 2007. 'Outlines of a world coming into existence': Pervasive computing and the ethics of forgetting. Environment and Planning B: Planning and Design 34, 3 (2007), 431--445.Google ScholarCross Ref
- Aiden R. Doherty and Alan F. Smeaton. 2008. Automatically segmenting lifelog data into events. 9th International Workshop on Image Analysis for Multimedia Interactive Services (june 2008). http://doras.dcu.ie/4651/ Google ScholarDigital Library
- Aiden R. Doherty, Alan F. Smeaton, Keansub Lee, and Danial P.W. Ellis. 2007. Multimodal segmentation of lifelog data. Large Scale Semantic Access to Content (Text, Image, Video, and Sound) (june 2007), 21--38. http://dl.acm.org/citation. cfm?id=1931393 Google ScholarDigital Library
- J. Gemmell, G. Bell, and R. Lueder. 2006. MyLifeBits: a personal database for everything. Commun. ACM 49, 1 (2006), 88--95. Google ScholarDigital Library
- Rashmi Gupta and Cathal Gurrin. 2018. Approaches for Event Segmentation of Visual Lifelog Data. 24th International Conference on Advances in Multimedia Modeling, MMM 2018 (2018).Google Scholar
- Cathal Gurrin, Hideo Joho, Frank Hopfgartner, Liting Zhou, and Rami Albatal. 2016. NTCIR Lifelog: the first test collection for lifelog research. In SIGIR'16 - the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. 705--708. http://doras.dcu.ie/21658/ Google ScholarDigital Library
- Cathal Gurrin, Hideo Joho, Frank Hopfgartner, Liting Zhou, Rashmi Gupta, Rami Albatal, and Duc Tien Dang Nguyen. 2017. Overview of NTCIR-13 Lifelog-2 Task. The Thirteenth NTCIR conference (NTCIR-13) (dec 2017).Google Scholar
- Cathal Gurrin, Alan F. Smeaton, and Aiden R. Doherty. 2014. LifeLogging: Personal Big Data. Foundations and Trends in Information Retrieval 8, 1 (2014), 1--125. Google ScholarDigital Library
- Zaher Hinbarji, Rami Albatal, Noel E. OâǍŻConnor, and Cathal Gurrin. 2016. LoggerMan, a comprehensive logging and visualisation tool to capture computer usage. 22st International Conference on MultiMedia Modelling (2016), 342--347.Google ScholarCross Ref
- Roberto G. Trujillo Hsiao-yun Chu. 2009. New Views on R. Buckminster Fuller. New Views on R. Buckminster Fuller (2009), 6--23.Google Scholar
- Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba G. Seco de Herrera, Cathal Gurrin, Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, and Immanuel Schwall. 2017. Overview of ImageCLEF 2017: Information Extraction from Images. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, Gareth J.F. Jones, Séamus Lawless, Julio Gonzalo, Liadh Kelly, Lorraine Goeuriot, Thomas Mandl, Linda Cappellato, and Nicola Ferro (Eds.). Springer International Publishing, Cham, 315--337.Google Scholar
- Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014. Caffe: Convolutional Architecture for Fast Feature Embedding. arXiv preprint arXiv:1408.5093 (2014).Google Scholar
- Daniel Kahneman, Alan B. Krueger, David A. Schkade, Norbert Schwarz, and Arthur A. Stone. 2004. A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method. Science 306 (2004), 1776--1780.Google Scholar
- Alessandro Ortis, Giovanni Maria Farinella, Valeria D'Amico, Luca Addesso, Giovanni Torrisi, and Sebastiano Battiato. 2016. Organizing Egocentric Videos for Daily Living Monitoring. Proceedings of the first Workshop on Lifelogging Tools and Applications (oct 2016), 45--54. Google ScholarDigital Library
- Abigail Sellen and Steve Whittaker. 2010. Beyond total capture: A constructive critique of lifelogging. Commun. ACM 53 (may 2010), 70--77. Google ScholarDigital Library
- Li Zhen, Wei Zhiqiang, Jia Wenyan, and Sun Mingui. 2013. Daily Life Event Segmentation for Lifestyle Evaluation Based on Multi-Sensor Data Recorded by a Wearable Device. Conf Proc IEEE Eng Med Biol Soc (oct 2013). https: //www.ncbi.nlm.nih.gov/pmc/articles/PMC3812436/Google ScholarCross Ref
Index Terms
- Considering Documents in Lifelog Information Retrieval
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