NTCIR-12 Lifelog Data Analytics

Lifelogging is the process of automatically, ambiently and digitally recording episodes of one's life experiences. NTCIR-12 Lifelog test collection was initially created, as support for the Information Retrieval (IR) community, to develop new and novel lifelogging retrieval and visualisation systems. In this paper, our goal is organising and analysing the NTCIR-12 Lifelog dataset by using a time series approach to facilitate automatic discovery of repeat events.

[1]  Rami Albatal,et al.  Senseseer mobile-cloud-based Lifelogging framework , 2013, 2013 IEEE International Symposium on Technology and Society (ISTAS): Social Implications of Wearable Computing and Augmediated Reality in Everyday Life.

[2]  Kaspar Anton Schindler,et al.  Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG. , 2006, Brain : a journal of neurology.

[3]  Heather J. Ruskin,et al.  Visual Experience for Recognising Human Activities , 2012, EvAAL.

[4]  Eamonn J. Keogh,et al.  Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.

[5]  Heather J. Ruskin,et al.  Random Matrix Ensembles of Time Correlation Matrices to Analyze Visual Lifelogs , 2014, MMM.

[6]  D. Wilcox,et al.  On the analysis of cross-correlations in South African market data , 2004 .

[7]  Shahram Izadi,et al.  SenseCam: A Retrospective Memory Aid , 2006, UbiComp.

[8]  Gerard Salton,et al.  Automatic Information Organization And Retrieval , 1968 .

[9]  Jenny Benois-Pineau,et al.  The IMMED project: wearable video monitoring of people with age dementia , 2010, ACM Multimedia.

[10]  Frank Hopfgartner,et al.  To log or not to log? SWOT analysis of self-tracking , 2016 .

[11]  Aiden R Doherty,et al.  Automatically assisting human memory: A SenseCam browser , 2011, Memory.

[12]  Heather J. Ruskin,et al.  Automatically Detecting "Significant Events" on SenseCam™ , 2013, ERCIM News.

[13]  Rami Albatal,et al.  NTCIR Lifelog: The First Test Collection for Lifelog Research , 2016, SIGIR.

[14]  Tetsuya Sakai,et al.  Overview of NTCIR-9 , 2011, NTCIR.

[15]  J. Bouchaud,et al.  Theory Of Financial Risk And Derivative Pricing , 2000 .

[16]  Irfan A. Essa,et al.  Improving Activity Discovery with Automatic Neighborhood Estimation , 2007, IJCAI.

[17]  Deborah Estrin,et al.  Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype , 2007, EmNets '07.

[18]  Stphane Mallat,et al.  A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way , 2008 .

[19]  V. Plerou,et al.  Identifying Business Sectors from Stock Price Fluctuations , 2000, cond-mat/0011145.

[20]  Steve Mann,et al.  Continuous lifelong capture of personal experience with EyeTap , 2004, CARPE'04.

[21]  Irfan A. Essa,et al.  Unsupervised Activity Discovery and Characterization From Event-Streams , 2005, UAI.

[22]  A. Dumitru,et al.  Eigenvalue repulsion in an effective theory of SU(2) Wilson lines in three dimensions , 2007, 0711.0868.

[23]  J. Bouchaud,et al.  Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management , 2011 .

[24]  Alan F. Smeaton,et al.  LifeLogging: Personal Big Data , 2014, Found. Trends Inf. Retr..

[25]  Heather J. Ruskin,et al.  Multiscaled Cross-Correlation Dynamics on SenseCam Lifelogged Images , 2013, MMM.

[26]  Petia Radeva,et al.  Ego-object discovery , 2015, ArXiv.

[27]  Alan F. Smeaton,et al.  Using visual lifelogs to automatically characterize everyday activities , 2013, Inf. Sci..

[28]  Ian H. Witten,et al.  Managing gigabytes (2nd ed.): compressing and indexing documents and images , 1999 .

[29]  Ian H. Witten,et al.  Compressing and indexing documents and images , 1999 .

[30]  Heather J. Ruskin,et al.  Application of statistical physics for the identification of important events in visual lifelogs , 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

[31]  Wei-Hao Lin,et al.  Structuring continuous video recordings of everyday life using time-constrained clustering , 2006, Electronic Imaging.

[32]  A. Ioannides,et al.  Temporal correlations versus noise in the correlation matrix formalism: an example of the brain auditory response. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[33]  Makoto P. Kato,et al.  Overview of NTCIR-12 , 2016, NTCIR.

[34]  Kent Lyons,et al.  Capturing experiences anytime, anywhere , 2006, IEEE Pervasive Computing.

[35]  Nebojsa Jojic,et al.  Structural epitome: a way to summarize one's visual experience , 2010, NIPS.

[36]  Li Wei,et al.  Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.

[37]  V. Plerou,et al.  Universal and Nonuniversal Properties of Cross Correlations in Financial Time Series , 1999, cond-mat/9902283.

[38]  D. Brutlag,et al.  Highly specific protein sequence motifs for genome analysis. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[39]  Heather J. Ruskin,et al.  Finding Motifs in Large Personal Lifelogs , 2016, AH.

[40]  Kuniaki Uehara,et al.  Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle , 2005, Machine Learning.

[41]  Rami Albatal,et al.  Overview of NTCIR-12 Lifelog Task , 2016, NTCIR.

[42]  M. Crane,et al.  Random matrix theory for portfolio optimization: a stability approach , 2004 .

[43]  Stéphane Mallat,et al.  A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .

[44]  Abul Hasan Siddiqi,et al.  Wavelet transforms of meteorological parameters and gravity waves , 2005 .

[45]  Marc Langheinrich,et al.  Remembering through lifelogging: A survey of human memory augmentation , 2016, Pervasive Mob. Comput..

[46]  Gordon Bell,et al.  MyLifeBits: a personal database for everything , 2006, CACM.

[47]  Jessica Lin,et al.  Finding Motifs in Time Series , 2002, KDD 2002.

[48]  Irfan A. Essa,et al.  Discovering Characteristic Actions from On-Body Sensor Data , 2006, 2006 10th IEEE International Symposium on Wearable Computers.

[49]  Ioannis P. Androulakis,et al.  Selecting maximally informative genes , 2005, Comput. Chem. Eng..

[50]  Zhu Xizhi,et al.  The Application of Wavelet Transform in Digital Image Processing , 2008, 2008 International Conference on MultiMedia and Information Technology.