Telling Stories with Mylifebits

Gemmell, Jim; Aris, Aleks; Lueder, Roger

doi:10.1109/icme.2005.1521726

Cited by 41 publications

(37 citation statements)

References 10 publications

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“…The SenseCam device has been used extensively in the MyLifeBits project at Microsoft Research [6], [7] as well as being used in other, exploratory projects at Microsoft Research in Cambridge [10]. Like many other sensor devices, the SenseCam is great at capturing raw data, up to a million images per year for each user, and the main challenge is to effectively manage this huge volume of personal data.…”

Section: The Sensecammentioning

confidence: 99%

Content vs. Context for Multimedia Semantics: The Case of SenseCam Image Structuring

Smeaton

2006

Semantic Multimedia

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Abstract. Much of the current work on determining multimedia semantics from multimedia artifacts is based around using either context, or using content. When leveraged thoroughly these can independently provide content description which is used in building content-based applications. However, there are few cases where multimedia semantics are determined based on an integrated analysis of content and context. In this keynote talk we present one such example system in which we use an integrated combination of the two to automatically structure large collections of images taken by a SenseCam, a device from Microsoft Research which passively records a person's daily activities. This paper describes the post-processing we perform on SenseCam images in order to present a structured, organised visualisation of the highlights of each of the wearer's days.

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Section: The Sensecammentioning

confidence: 99%

Content vs. Context for Multimedia Semantics: The Case of SenseCam Image Structuring

Smeaton

2006

Semantic Multimedia

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“…To enable visual lifelogging and memory capture, Microsoft Research in Cambridge, UK, have developed a device known as the SenseCam. The SenseCam is a small wearable device that passively captures a person's day-to-day activities as a series of photographs [8] [9]. It is typically worn around the neck and, so is oriented towards the majority of activities which the user is engaged in.…”

Section: Related Researchmentioning

confidence: 99%

“…The concept of a MEMEX (or a Human Digital Memory) is another step (albeit a significant one) towards the goal of augmenting our unreliable memory with a surrogate. In recent years, MEMEX has inspired the creation of tools such as MyLifeBits [9] and SLife [21], which enable the automatic capture of desktop computer content and activity. Gordon Bell of Microsoft has collected many years worth of personal and electronic data into one central repository using MyLifeBits.…”

Section: Introductionmentioning

confidence: 99%

Architecture and challenges of maintaining a large-scale, context-aware human digital memory

Gurrin

Byrne

O’Connor

et al. 2008

5th International Conference on Visual Information Engineering (VIE 2008)

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“…Traditional systems for content-based image retrieval are not up to this task. In [11] the authors describe the MyLifeBits system, which is a first step in tackling this problem, specifically in relation to the images captured by SenseCam. MyLifeBits also captures other forms of digital media and is a step toward's fulfilling Bush's Memex vision [13].…”

Section: Related Workmentioning

confidence: 99%

“…Passive capture devices are cameras which automatically take pictures without any user intervention [10] [11]. They are ideal for use in a museum environment as they allow the visitor to record their experiences without conscious thought.…”

Section: Related Workmentioning

confidence: 99%

Mo Músaem Fíorúil: A Web-Based Search and Information Service for Museum Visitors

Blighe

Sav

Lee

et al.

Lecture Notes in Computer Science

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Abstract. We describe the prototype of an interactive, web-based, museum artifact search and information service. Mo Músaem Fíorúil clusters and indexes images of museum artifacts taken by visitors to the museum where the images are captured using a passive capture device such as Microsoft's SenseCam [1]. The system also matches clustered artifacts to images of the same artifact from the museums official photo collection and allows the user to view images of the same artifact taken by other visitors to the museum. This matching process potentially allows the system to provide more detailed information about a particular artifact to the user based on their inferred preferences, thereby greatly enhancing the user's overall museum experience. In this work, we introduce the system and describe, in broad terms, it's overall functionality and use. Using different image sets of artificial museum objects, we also describe experiments and results carried out in relation to the artifact matching component of the system.

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Telling Stories with Mylifebits

Cited by 41 publications

References 10 publications

Content vs. Context for Multimedia Semantics: The Case of SenseCam Image Structuring

Content vs. Context for Multimedia Semantics: The Case of SenseCam Image Structuring

Architecture and challenges of maintaining a large-scale, context-aware human digital memory

Mo Músaem Fíorúil: A Web-Based Search and Information Service for Museum Visitors

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