21 Publikationen

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  • [21]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190 OA
    Langenkämper, D., et al., 2017. BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections. Frontiers in Marine Science, 4(March): 83.
    PUB | Dateien verfügbar | DOI | WoS
     
  • [20]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2902750 OA
    Schoening, T., Osterloff, J., & Nattkemper, T.W., 2016. RecoMIA - Recommendations for marine image annotation: Lessons learned and future directions. Frontiers in Marine Science, 3: 59.
    PUB | PDF | DOI | WoS
     
  • [19]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2724431 OA
    Schoening, T., et al., 2015. DELPHI - fast and adaptive computational laser point detection and visual footprint quantification for arbitrary underwater image collections. Frontiers in Marine Science, 2: 20.
    PUB | PDF | DOI | WoS
     
  • [18]
    2015 | Bielefelder E-Dissertation | PUB-ID: 2719665 OA
    Schoening, T., 2015. Automated detection in benthic images for megafauna classification and marine resource exploration: supervised and unsupervised methods for classification and regression tasks in benthic images with efficient integration of expert knowledge, Bielefeld: Universitätsbibliothek Bielefeld.
    PUB | PDF
     
  • [17]
    2015 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2775956 OA
    Steinbrink, B., et al., 2015. Integrated Digital Marine Image Analysis and Management - new solutions to handle large image collections in environmental monitoring and exploration. Presented at the GEOHAB, Salvador, Brazil.
    PUB | PDF
     
  • [16]
    2015 | Konferenzbeitrag | Im Druck | PUB-ID: 2775947
    Schoening, T., et al., In Press. Rapid image processing and classification in underwater exploration using advanced high performance computing. In Proc. of the IEEE Oceans. Washington DC, USA: IEEE.
    PUB
     
  • [15]
    2014 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2655889
    Osterloff, J., et al., 2014. An overview and rating of benthic image pre-processings for color constancy. Presented at the Marine Imaging Workshop, National Oceanography Centre, Southampton, UK.
    PUB
     
  • [14]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683648
    Osterloff, J., et al., 2014. Ranking Color Correction Algorithms using Cluster Indices. Presented at the ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, Stockhom.
    PUB | DOI | Download (ext.)
     
  • [13]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2717407
    Schoening, T., Kuhn, T., & Nattkemper, T.W., 2014. Seabed Classification Using a Bag-of-Prototypes Feature Representation. In Computer Vision for Analysis of Underwater Imagery (CVAUI), 2014 ICPR Workshop on. pp. 17-24.
    PUB | DOI
     
  • [12]
    2014 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2775961
    Schoening, T., et al., 2014. Image-based marine resource exploration and biodiversity assessment with MAMAS (Marine data Asset Management and Analysis System). Presented at the UMI (Underwater Mining Institute), Lisbon, Portugal.
    PUB
     
  • [11]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2610505
    Purser, A., et al., 2013. Microhabitat and shrimp abundance within a Norwegian cold-water coral ecosystem. Biogeosciences, 10(9), p 5779-5791.
    PUB | DOI | WoS
     
  • [10]
    2013 | Konferenzbeitrag | Im Druck | PUB-ID: 2610134
    Schoening, T., et al., In Press. Ultra-fast segmentation and quantification of poly-metallic nodule coverage in high-resolution digital images. In Proceedings of the UMI 2013.
    PUB
     
  • [9]
    2013 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2656054
    Schoening, T., Bergmann, M., & Nattkemper, T.W., 2013. A machine-learning system for the automated detection of megafauna and its applicability unseen footage. Presented at the GEOHAB, Rome.
    PUB
     
  • [8]
    2013 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2656093
    Kuhn, T., et al., 2013. Application of Hydro-Acoustic and Video Data for the Exploration of Manganese Nodule Fields. Presented at the ISOPE OMS, Szczecin, Poland.
    PUB
     
  • [7]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2494458 OA
    Schoening, T., et al., 2012. Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTEN. PLoS ONE, 7(6): e38179.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [6]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2656050
    Schoening, T., Kuhn, T., & Nattkemper, T.W., 2012. Estimation of poly-metallic nodule coverage in benthic images. In Proc. of the 41st Conference of the Underwater Mining Institute (UMI).
    PUB
     
  • [5]
    2012 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2656067
    Schoening, T., et al., 2012. The impact of experts’ inter- and intra-observer agreements on computational object classification in images from the deep seafloor of the HAUSGARTEN observatory. Presented at the 13th International Deep-Sea Biology Symposium, Wellington, New Zealand.
    PUB
     
  • [4]
    2012 | Konferenzbeitrag | PUB-ID: 2515700
    Schoening, T., et al., 2012. Investigation of hidden parameters influencing the automated object detection in benthic images. Presented at the IEEE OCEANS 2012 MTS/IEEE, Hampton Roads, Virginia, USA.
    PUB
     
  • [3]
    2011 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2656082
    Purser, A., et al., 2011. How to squeeze even more from your Terabytes of video data!.
    PUB
     
  • [2]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300235
    Schoening, T., Hans, V., & Nattkemper, T.W., 2011. Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features. In Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Informatik aktuell. Berlin, Heidelberg: Springer, pp. 44-48.
    PUB | DOI
     
  • [1]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018440
    Schoening, T., et al., 2009. BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining. In IV 09 - Intl. Conference on Information Visualization. IEEE.
    PUB | DOI
     

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