Video abstract

Results: 429



#Item
11Key-Segments for Video Object Segmentation Yong Jae Lee, Jaechul Kim, and Kristen Grauman University of Texas at Austin , , Abstract

Key-Segments for Video Object Segmentation Yong Jae Lee, Jaechul Kim, and Kristen Grauman University of Texas at Austin , , Abstract

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Source URL: vision.cs.utexas.edu

- Date: 2012-04-06 16:09:51
    12Demo Abstract: EVAPS: Edge Video Analysis for Public Safety Qingyang Zhang∗‡ , Zhifeng Yu† , Weisong Shi‡ and Hong Zhong∗ School of Computer Science and Technology, Anhui University, China † Mobihealth Techno

    Demo Abstract: EVAPS: Edge Video Analysis for Public Safety Qingyang Zhang∗‡ , Zhifeng Yu† , Weisong Shi‡ and Hong Zhong∗ School of Computer Science and Technology, Anhui University, China † Mobihealth Techno

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    Source URL: www.cs.wayne.edu

    - Date: 2016-08-24 10:28:06
      13Evolving Pixel Shaders for the Prototype Video Game Subversion Andrew Howlett1, Simon Colton1 and Cameron Browne1 Abstract. Pixel shaders can be used to create a variety of visual effects in 3D environments, far more eff

      Evolving Pixel Shaders for the Prototype Video Game Subversion Andrew Howlett1, Simon Colton1 and Cameron Browne1 Abstract. Pixel shaders can be used to create a variety of visual effects in 3D environments, far more eff

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      Source URL: www.doc.ic.ac.uk

      - Date: 2010-03-08 20:02:32
        14The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection Pascal Mettes, Dennis C. Koelma, Cees G. M. Snoek University of Amsterdam ABSTRACT

        The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection Pascal Mettes, Dennis C. Koelma, Cees G. M. Snoek University of Amsterdam ABSTRACT

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        Source URL: isis-data.science.uva.nl

        - Date: 2016-06-07 05:49:45
          151 Randomized Spatial Context for Object Search Yuning Jiang, Junsong Yuan, IEEE Member, Jingjing Meng and Jiebo Luo IEEE Fellow, Abstract—Searching visual objects in large image or video

          1 Randomized Spatial Context for Object Search Yuning Jiang, Junsong Yuan, IEEE Member, Jingjing Meng and Jiebo Luo IEEE Fellow, Abstract—Searching visual objects in large image or video

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          Source URL: eeeweba.ntu.edu.sg

          - Date: 2015-03-31 02:22:38
            16On Evaluation of Video Quality Metrics: an HDR Dataset for Computer Graphics Applications ˇ ık, Tun¸c O. Aydın, Karol Myszkowski, Hans-Peter Seidel Martin Cad´ MPI Informatik ABSTRACT

            On Evaluation of Video Quality Metrics: an HDR Dataset for Computer Graphics Applications ˇ ık, Tun¸c O. Aydın, Karol Myszkowski, Hans-Peter Seidel Martin Cad´ MPI Informatik ABSTRACT

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            Source URL: resources.mpi-inf.mpg.de

            - Date: 2010-12-06 08:46:59
              17Optimal Download Time in a cloud-assisted Peer-to-Peer Video on Demand service Pablo Rodr´ıguez-Bocca and Claudia Rostagnol Abstract In this paper we present a mathematical model to optimize the average download time i

              Optimal Download Time in a cloud-assisted Peer-to-Peer Video on Demand service Pablo Rodr´ıguez-Bocca and Claudia Rostagnol Abstract In this paper we present a mathematical model to optimize the average download time i

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              Source URL: goalbit-solutions.com

              - Date: 2016-02-19 12:51:51
                18On Evaluation of Video Quality Metrics: an HDR Dataset for Computer Graphics Applications ˇ ık, Tun¸c O. Aydın, Karol Myszkowski, Hans-Peter Seidel Martin Cad´ MPI Informatik ABSTRACT

                On Evaluation of Video Quality Metrics: an HDR Dataset for Computer Graphics Applications ˇ ık, Tun¸c O. Aydın, Karol Myszkowski, Hans-Peter Seidel Martin Cad´ MPI Informatik ABSTRACT

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                Source URL: zurich.disneyresearch.com

                - Date: 2011-11-06 08:00:22
                  19Adaptive Motion Compensation Without Blocking Artifacts Timothy B. Terriberry Mozilla, Mountain View, USA ABSTRACT The Block Matching Algorithms used in most popular video codec standards introduce blocking artifacts whi

                  Adaptive Motion Compensation Without Blocking Artifacts Timothy B. Terriberry Mozilla, Mountain View, USA ABSTRACT The Block Matching Algorithms used in most popular video codec standards introduce blocking artifacts whi

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                  Source URL: people.xiph.org

                  - Date: 2015-03-21 18:13:27