Abstract
In sensor research we take advantage of additional contextual sensor information to disambiguate potentially erroneous sensor readings or to make better informed decisions on a single sensor’s output. This use of additional information reinforces, validates, semantically enriches, and augments sensed data. Lifelog data is challenging to augment, as it tracks one’s life with many images including the places they go, making it non-trivial to find associated sources of information. We investigate realising the goal of pervasive user-generated content based on sensors, by augmenting passive visual lifelogs with “Web 2.0” content collected by millions of other individuals.
Highlights
Almost everything we do these days is in some way monitored, sensed, or logged
In describing our approach in Section 3.1., we posed the question as to whether it is better to retrieve the tags from the top 100 (T100) or the top 25 (T25) most relevant geotagged images, or the top 25 geotagged images that are visually similar to the keyframe image from the lifelog event (M25)
(As no suggested text was presented to the user in automatic runs, users were presented with results from the T100, T25, & M25 approaches, allowing us to compare the retrieval results of these approaches on a like-for-like basis)
Summary
Almost everything we do these days is in some way monitored, sensed, or logged. We’ve come to accept—or maybe we just ignore—this massive surveillance of our lives from a variety of sensors because it brings us benefits. We have a more secure feeling when we know there is CCTV present, we get itemised billing of our phone usage from phone companies, and we get convenience and even loyalty bonuses as a result of some of our regular store purchases. Lifelogging is the term used to describe recording different aspects of your daily life, in digital form, for your own exclusive personal use. It is a form of reverse surveillance, sometimes termed sousveillance, referring to us, the subjects, doing the watching, of ourselves. Lifelogging can take many forms, such as the application which runs on your mobile phone to ‘log’ all your phone activities and present
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