Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search

Authors

  • Daniel Rotman IBM Research
  • Dror Porat IBM Research
  • Yevgeny Burshtein IBM Research
  • Udi Barzelay IBM Research

DOI:

https://doi.org/10.1609/aaai.v33i01.33019871

Abstract

With the increasing popularity of video content, automatic video understanding is becoming more and more important for streamlining video content consumption and reuse. In this work, we present TVAN—temporal video analyzer—a system for temporal video analysis aimed at enabling efficient and robust video description and search. Its main components include: temporal video segmentation, compact scene representation for efficient visual recognition, and concise scene description generation. We provide a technical overview of the system, as well as demonstrate its usefulness for the task of video search and navigation.

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Published

2019-07-17

How to Cite

Rotman, D., Porat, D., Burshtein, Y., & Barzelay, U. (2019). Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9871-9872. https://doi.org/10.1609/aaai.v33i01.33019871

Issue

Section

Demonstration Track