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Research Notes of the AAS, 2022 Abstract Video is a deep near-infrared survey which targets 12deg2 over the ELAIS-S1 (2 continuous Vircam tiles), XMM-LSS, and E-CDFS (3 continuous Vircam tiles, each) extra-galactic fields. This research note presents the final data release (DR5) of all tiles, stacks and the deep stacked data in all areas, Video-ES1, Video-XMM and Video-
Boris Häußler +2 more
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ASCILITE Publications, 2016 Learning spaces influence how we act, however there is a lack of systemic research addressing the impact of environments on teaching and learning. In this paper, we introduce a hybrid tracking technique in which a colour model is combined with algorithms to identify human positions, and applied to video data. The aim of identifying patterns of movement
Thompson, Kate +3 more
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BuildingsJiangnan water towns, as distinctive cultural landscapes in China, are confronting the dual challenge of surging tourist flows and imbalances in spatial distribution.
Hongshi Cao +5 more
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Video Journal of Education and Pedagogy, 2019 This article situates at the interstice of post qualitative inquiry and child participatory video research, in responding to the need for more work around child, camera and researcher relations, where bodies (human and otherwise) coexist and agency is not bounded in one human subject.
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Interactive Video Search [PDF]
, 2015 With an increasing amount of video data in our daily life, the need for content-based search in videos increases as well. Though a lot of research has been spent on video retrieval tools and methods which allow for automatic search in videos through ...
Hopfgartner, Frank, Schoeffmann, Klaus
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Efficient Depth Data Coding Method Based on Plane Modeling for Intra Prediction
IEEE Access, 2021 In this article, we propose a depth data coding method by plane modeling. The plane modeling is a prediction method based on a plane estimation from depth pixels in a block.
Dong-Seok Lee +2 more
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Dynamic optimization of the quality of experience during mobile video watching [PDF]
, 2015 Mobile video consumption through streaming is becoming increasingly popular. The video parameters for an optimal quality are often automatically determined based on device and network conditions.
De Pessemier, Toon +2 more
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Lucid Data Dreaming for Video Object Segmentation
, 2019 Convolutional networks reach top quality in pixel-level video object segmentation but require a large amount of training data (1k~100k) to deliver such results.
Benenson, Rodrigo +4 more
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Measuring similarity between geo‐tagged videos using largest common view
Electronics Letters, 2019 This Letter presents a novel problem for discovering similar trajectories based on the field of view of the video data. The problem is important for many societal applications such as grouping moving objects, classifying geo‐images, and identifying the ...
Wei Ding, KwangSoo Yang, Kwang Woo Nam
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The Lagrangian picture of heat transfer in convective turbulence [PDF]
, 2009 We present a fluid dynamics video which illustrates the Lagrangian aspects of local heat transfer in turbulent Rayleigh-Benard convection. The data are obtained from a direct numerical simulation.Comment: Abstract of video submission to the Gallery of ...
Boltes, Maik +2 more
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