Secure Data Management
9th VLDB Workshop, SDM 2012, Istanbul, Turkey, August 27, 2012. Proceedings
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26 Result(s)
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Chapter
Data Science in Healthcare: Benefits, Challenges and Opportunities
The advent of digital medical data has brought an exponential increase in information available for each patient, allowing for novel knowledge generation methods to emerge. Tap** into this data brings clinic...
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Chapter and Conference Paper
What Websites Know About You
The need for privacy protection on the Internet is well recognized. Everyday users are asked to release personal information in order to use online services and applications. Service providers do not always ne...
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Book and Conference Proceedings
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Chapter and Conference Paper
Measuring Privacy Compliance Using Fitness Metrics
Nowadays, repurposing of personal data is a major privacy issue. Detection of data repurposing requires posteriori mechanisms able to determine how data have been processed. However, current a posteriori solut...
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Chapter and Conference Paper
Towards Trustworthy Health Platform Cloud
To address today’s major concerns of health service providers regarding security, resilience and data protection when moving on the cloud, we propose an approach to build a trustworthy healthcare platform clou...
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Book and Conference Proceedings
Secure Data Management
8th VLDB Workshop, SDM 2011, Seattle, WA, USA, September 2, 2011, Proceedings
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Chapter and Conference Paper
Purpose Control: Did You Process the Data for the Intended Purpose?
Data protection legislation requires personal data to be collected and processed only for lawful and legitimate purposes. Unfortunately, existing protection mechanisms are not appropriate for purpose control: ...
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Book and Conference Proceedings
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Book and Conference Proceedings
Secure Data Management
5th VLDB Workshop, SDM 2008, Auckland, New Zealand, August 24, 2008. Proceedings
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Book and Conference Proceedings
Secure Data Management
4th VLDB Workshop, SDM 2007, Vienna, Austria, September 23-24, 2007. Proceedings
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Chapter
A Spatio-Temporal and a Probabilistic Approach for Video Retrieval
In this chapter we address two approaches to extract high-level concepts from video footage and show the integrated use of both. We also describe an experiment used for validation.
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Chapter
Multimodal Content-based Video Retrieval
This chapter is a case study showing how important events (highlights) can be automatically detected in video recordings of Formula 1 car racing. Numerous approaches presented in literature have shown that it ...
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Book and Conference Proceedings
Secure Data Management
Third VLDB Workshop, SDM 2006, Seoul, Korea, September 10-11, 2006. Proceedings
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Book and Conference Proceedings
Secure Data Management
Second VLDB Workshop, SDM 2005, Trondheim, Norway, September 2-3, 2005. Proceedings
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Book
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Book and Conference Proceedings
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Chapter
Introduction
It is expected that a number of large digital video libraries (see for example [l–3]) will become publicly available in the near future, as a result of recent developments in digital video technology, the Inte...
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Chapter
Conclusions
The goal of this book as posed in Chapter 1 is to investigate what techniques are necessary to be added to a database management system to support content-based video retrieval. The research that has been done...
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Chapter
Video Modeling
Content-based video retrieval requires changes in a multimedia database management system relative to a traditional database management system. These changes take effect mainly with respect to modeling and que...
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Chapter
Stochastic Modeling of Video Events
Although we have demonstrated in the previous chapter that spatiotemporal formalization can be used for inferring video semantics from low-level feature representations and extracting events like net-playing a...
