Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search
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.
Cite
Text
Rotman et al. "Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search." AAAI Conference on Artificial Intelligence, 2019. doi:10.1609/AAAI.V33I01.33019871Markdown
[Rotman et al. "Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search." AAAI Conference on Artificial Intelligence, 2019.](https://mlanthology.org/aaai/2019/rotman2019aaai-temporal/) doi:10.1609/AAAI.V33I01.33019871BibTeX
@inproceedings{rotman2019aaai-temporal,
title = {{Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search}},
author = {Rotman, Daniel and Porat, Dror and Burshtein, Yevgeny and Barzelay, Udi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2019},
pages = {9871-9872},
doi = {10.1609/AAAI.V33I01.33019871},
url = {https://mlanthology.org/aaai/2019/rotman2019aaai-temporal/}
}