A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Proceedings of the 4th workshop on Embedded networked sensors
Google home: Experience, support and re-experience of social home activities
Information Sciences: an International Journal
Interactive theatre via mixed reality and Ambient Intelligence
Information Sciences: an International Journal
Lifelogging memory appliance for people with episodic memory impairment
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Assessing concept selection for video retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Foundations and Trends in Information Retrieval
Measuring the Influence of Concept Detection on Video Retrieval
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Concept detectors: how good is good enough?
MM '09 Proceedings of the 17th ACM international conference on Multimedia
On parsing visual sequences with the hidden Markov model
Journal on Image and Video Processing
IEEE Transactions on Image Processing
The IMMED project: wearable video monitoring of people with age dementia
Proceedings of the international conference on Multimedia
Combining inertial and visual sensing for human action recognition in tennis
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Beyond shot retrieval: searching for broadcast news items using language models of concepts
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
SenseCam: a retrospective memory aid
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Simulating the future of concept-based video retrieval under improved detector performance
Multimedia Tools and Applications
Information Sciences: an International Journal
Building health persona from personal data streams
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
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Visual lifelogging is the term used to describe recording our everyday lives using wearable cameras, for applications which are personal to us and do not involve sharing our recorded data. 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 characterize and measure the occurrence of everyday activities of the wearer and in so doing to gain insights into the wearer's everyday behavior. The methods we use are to capture everyday activities using a wearable camera called SenseCam, and to use an algorithm we have developed which indexes lifelog images by the occurrence of basic semantic concepts. We then use data reduction techniques to automatically generate a profile of the wearer's everyday behavior and activities. Our algorithm has been evaluated on a large set of concepts investigated from 13 users in a user experiment, and for a group of 16 popular everyday activities we achieve an average F-score of 0.90. Our conclusions are that the technique we have presented for unobtrusively and ambiently characterizing everyday behavior and activities across individuals is of sufficient accuracy to be usable in a range of applications.