• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Motion Vector based Robust Video Hash
 
  • Details
  • Full
Options
2020
Journal Article
Titel

Motion Vector based Robust Video Hash

Abstract
A novel robust video hashing scheme is proposed in thispaper. Unlike most existing robust video hashing algorithms, theproposed video hash is generated based on the motion vectorsinstead of the image textures in the video stream. Therefore,neither full decoding of the video stream nor complex computationof pixel values is required. Based on analysis of motion vectorproperties regarding their suitability for robust hashing, animproved feature extraction mechanism is proposed and severaloptimization mechanisms are introduced in order to achieve betterrobustness and discriminability. The proposed hashing scheme isevaluated by a large and modern video data set and theexperimental results demonstrate the excellent performance of theproposed hashing algorithm, which is comparable or even betterthan the complicated texture-based approaches.
Author(s)
Liu, Huajian
Fach, Sebastian
Steinebach, Martin
Zeitschrift
Electronic imaging. Online journal
Konferenz
Annual Symposium on Electronic Imaging, Science and Technology 2020
Thumbnail Image
DOI
10.2352/ISSN.2470-1173.2020.4.MWSF-218
Externer Link
Externer Link
Language
English
google-scholar
Fraunhofer-Institut für Sichere Informationstechnologie SIT
Tags
  • video hash

  • robust hash

  • motion vector

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022