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    <title>Björn Þór Jónsson on DASYA</title>
    <link>https://dasya.itu.dk/supervisor/bjorn-%C3%BEor-jonsson/</link>
    <description>Recent content in Björn Þór Jónsson on DASYA</description>
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    <copyright>© DASYA, IT University of Copenhagen</copyright>
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      <title>Diversity of Relevance Feedback</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/diversityrelevancefeedback/</link>
      <pubDate>Tue, 01 Jun 2021 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/diversityrelevancefeedback/</guid>
      <description>In relevance feedback, the choice of images to present to the user is a difficult problem, as a naïve approach may present too many similar images. The challenge addressed in this project is to ensure diversity (aka “one of each”) as well as relevance. A particularly interesting project for students interested in efficient algorithms.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>Hash-Based Indexing for Relevance Feedback</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/hashbasedindexing/</link>
      <pubDate>Tue, 01 Jun 2021 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/hashbasedindexing/</guid>
      <description>In interactive learning systems, such as Exquisitor, the system presents potentially relevant images to users who label them as either relevant or irrelevant. Currently, Exquisitor uses a cluster-based index, which allows it to return results from a collection of 100 million images in 0.3 seconds. The goal of this project is to study the application of hash-based indexing to interactive learning and compare to the current approach.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>Video Browser Showdown</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/videobrowsershowdown/</link>
      <pubDate>Tue, 01 Jun 2021 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/videobrowsershowdown/</guid>
      <description>The goal of this project is to enhance PhotoCube as a competior for the Video Browser Showdown, an international video retrieval competition where competing systems are judged based on speed, accuracy and recall. We propose to develop new versions of the C++-based media server and JS-based media browser, to expand the data model to videos and improve the performance sufficiently to take part in the Video Browser Showdown.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>Virtual Reality Analytics</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/virtualreality/</link>
      <pubDate>Tue, 01 Jun 2021 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/virtualreality/</guid>
      <description>We are actively developing a new prototype for analysing large multimedia collections in virtual reality, based on the ObjectCube data model. There are many ways in which students can contribute to the project, including work on the user interface and the back-end, and later on running large-scale user experiments.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>Dynamic Index Maintenance</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/dynamicecp/</link>
      <pubDate>Fri, 22 May 2020 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/dynamicecp/</guid>
      <description>The index structure used for Exquisitor is eCP, a very scalable index for high-dimensional retrieval. While multimedia collections are typically constantly updated, however, the index is unfortunately static. The goal of this project is to implement and compare approaches for index maintenance.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>MADS: Multimedia Analytics Data Services</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/multimediaanalyticsdataservices/</link>
      <pubDate>Fri, 22 May 2020 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/multimediaanalyticsdataservices/</guid>
      <description>In this project, we propose to implement media server and media browser encapsulating a new data model for analysing media collections, called Multimedia Analytics Data Services (MADS). To validate the design, some scalability experiments should be performed.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>Mobile Exquisitor 2.0</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/mobileexquisitor/</link>
      <pubDate>Fri, 22 May 2020 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/mobileexquisitor/</guid>
      <description>Students at ITU have made a prototype version of the Exquisitor system for the Android mobile phone! The system is missing some of Exquisitor’s advanced functionality, such as search and indexing, and the goal is to add and evaluate this functionality.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>ViRMA: Virtual Reality Multimedia Analytics</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/virtualrealityanalytics/</link>
      <pubDate>Fri, 22 May 2020 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/virtualrealityanalytics/</guid>
      <description>We propose to develop a new prototype for analysing large multimedia collections in Virtual Reality, using the new Valve Indexes. There are many ways in which students can contribute to the project, including work on the user interface and the back-end, and later on running large-scale user experiments.
Read more&amp;hellip;</description>
    </item>
    
    <item>
      <title>Competitor for the Video Browser Showdown</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/competitor-for-the-video-browser-showdown/</link>
      <pubDate>Mon, 16 Dec 2019 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/competitor-for-the-video-browser-showdown/</guid>
      <description>The goal of this project is to integrate Exquisitor with other pieces of existing technology and turn into a competitor for a live video retrieval competition. The project is suitable for 3-4 well-qualified MSc students.
The ​Video Browser Showdown​ (VBS) is a live competition​ for video search andretrieval, held at the International Conference on Multimedia Modeling (MMM). In VBS, the competition tasks involve finding videos from a collection of 1000 hours of videos.</description>
    </item>
    
    <item>
      <title>Diversity of Relevance Feedback</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/diversity-of-relevance-feedback/</link>
      <pubDate>Mon, 16 Dec 2019 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/diversity-of-relevance-feedback/</guid>
      <description>The goal of this project is ensure diversity in the relevance feedback results, to improve quality of the user experience.
The project is suitable for 1-3 well-qualified MSc students.
In many creative tasks, the designer will knowsome stock image is good for a design just stumbling upon the image. This “Aha!” moment requires browsing thousands of images by categories. In other words, it requires labeled and categorized images. Labeling hundreds of millions of images, such as the 99.</description>
    </item>
    
    <item>
      <title>Exploring Image Collections via Eye Tracking</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/exploring-image-collections-via-eye-tracking/</link>
      <pubDate>Mon, 16 Dec 2019 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/exploring-image-collections-via-eye-tracking/</guid>
      <description>The goal of this project is to use state of the art in eye tracking to design, implement and evaluate different eye-tracking interfaces for Exquisitor.
The project is suitable for 1-3 well-qualified MSc students.
Image and media collections are becoming a central information resource for a growing number of domains. This calls for very effective tools for interactive exploration of the contents of those collections [1]. Since humans typically look at the targets of interest before making a selection, the eyes can become a very efficient means browsing media collections (e.</description>
    </item>
    
    <item>
      <title>Mobile Version of Exquisitor</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/mobile-version-of-exquisitor/</link>
      <pubDate>Mon, 16 Dec 2019 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/mobile-version-of-exquisitor/</guid>
      <description>The goal of this project is build a prototype of the Exquisitor system for mobile devices.
The project is suitable for 1-3 well-qualified MSc students.
Image and media collections are becoming a central information resource for a growing number of domains. This calls for very effective tools for interactive exploration of the contents of those collections [1].Based on past research results [2], we have built a prototype of such an exploration tool, called Exquisitor.</description>
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