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Chapter and Conference Paper
Traceable Asynchronous Workflows in Video Retrieval with vitrivr-VR
Virtual reality (VR) interfaces allow for entirely new modes of user interaction with systems and interfaces. Much like in physical workspaces, documents, tools, and interfaces can be used, put aside, and used...
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Chapter and Conference Paper
Exploring Effective Interactive Text-Based Video Search in vitrivr
vitrivr is a general purpose retrieval system that supports a wide range of query modalities. In this paper, we briefly introduce the system and describe the changes and adjustments made for the 2023 iteration...
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Article
Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown
The Video Browser Showdown addresses difficult video search challenges through an annual interactive evaluation campaign attracting research teams focusing on interactive video retrieval. The campaign aims to ...
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Chapter and Conference Paper
Multi-modal Interactive Video Retrieval with Temporal Queries
This paper presents the version of vitrivr participating at the Video Browser Showdown (VBS) 2022. vitrivr already supports a wide range of query modalities, such as color and semantic sketches, OCR, ASR and t...
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Chapter and Conference Paper
Multi-modal Video Retrieval in Virtual Reality with vitrivr-VR
In multimedia search, appropriate user interfaces (UIs) are essential to enable effective specification of the user’s information needs and the user-friendly presentation of search results. vitrivr-VR addresse...
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Chapter and Conference Paper
A Task Category Space for User-Centric Comparative Multimedia Search Evaluations
In the last decade, user-centric video search competitions have facilitated the evolution of interactive video search systems. So far, these competitions focused on a small number of search task categories, wi...
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Chapter and Conference Paper
Combining Boolean and Multimedia Retrieval in vitrivr for Large-Scale Video Search
This paper presents the most recent additions to the vitrivr multimedia retrieval stack made in preparation for the participation to the 9\(^{th}\) Video Browser Showdown (VBS) in 2020. In addition to refining ex...
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Chapter and Conference Paper
Deep Learning-Based Concept Detection in vitrivr
This paper presents the most recent additions to the vitrivr retrieval stack, which will be put to the test in the context of the 2019 Video Browser Showdown (VBS). The vitrivr stack has been extended by approach...