Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction

The technical progress in the last decades makes photo and video recording devices omnipresent. This change has a significant impact, among others, on police work. It is no longer unusual that a myriad of digital data accumulates after a criminal act, which must be reviewed by criminal investigators to collect evidence or solve the crime.

This paper presents the VICTORIA Interactive 4D Scene Reconstruction and Analysis Framework (“ISRA-4D” 1.0), an approach for the visual consolidation of heterogeneous video and image data in a 3D reconstruction of the corresponding environment.

First, by reconstructing the environment in which the materials were created, a shared spatial context of all available materials is established. Second, all footage is spatially and temporally registered within this 3D reconstruction. Third, a visualization of the hereby created 4D reconstruction (3D scene + time) is provided, which can be analyzed interactively. Additional information on video and image content is also extracted and displayed and can be analyzed with supporting visualizations. The presented approach facilitates the process of filtering, annotating, analyzing, and getting an overview of large amounts of multimedia material.

The framework is evaluated using four case studies which demonstrate its broad applicability. Furthermore, the framework allows the user to immerse themselves in the analysis by entering the scenario in virtual reality. This feature is qualitatively evaluated by means of interviews of criminal investigators and outlines potential benefits such as improved spatial understanding and the initiation of new fields of application.

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  author    = {Matthias Kraus and
               Thomas Pollok and
               Matthias Miller and
               Timon Urs Kilian and
               Tobias Moritz and
               Daniel Schweitzer and
               J{\"{u}}rgen Beyerer and
               Daniel A. Keim and
               Chengchao Qu and
               Wolfgang Jentner},
  title     = {{Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction}},
  journal   = {Sensors},
  volume    = {20},
  number    = {18},
  pages     = {5426},
  year      = {2020},
  doi       = {10.3390/s20185426}