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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>THUMOS</title>
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<body role="document">
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<div class="container">
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<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse">
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<span class="icon-bar"></span>
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<a class="navbar-brand" href="#">THUMOS</a>
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<div class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li class="active"><a href="#">Home</a></li>
<li><a href="#about">About</a></li>
<li><a href="#contact">Contact</a></li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown">Dropdown <span class="caret"></span></a>
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<li><a href="#">Action</a></li>
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<h1 class="primary-color">THUMOS Challenge 2014</h1>
<p>In conjunction with ECCV'14</p>
<p><a href="#" class="btn btn-primary btn-lg" role="button">Learn more »</a></p>
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<p> </p>
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<h2><p align="center">
Action Recognition in <span style="">Temporally Untrimmed</span> Videos!
</p></h2>
<p align="justify">
Automatically recognizing and localizing a large number of action categories from videos “in the wild” is of significant importance for video understanding and multimedia event detection. THUMOS workshop and challenge aims at exploring new challenges and approaches for large-scale action recognition with large number of classes from open source videos in a realistic setting.
</p>
<p>
Most of the existing action recognition datasets are composed of videos that have been manually trimmed to bound the action of interest. This has been identified to be a considerable limitation as it poorly matches how action recognition is applied in practical settings. Therefore, THUMOS 2014 will conduct the challenge on temporally <u>untrimmed</u> videos. The participants may train their methods using trimmed clips but will be required to test their systems on untrimmed data.
</p>
<p>
A new forward-looking dataset composed of the following components will be made available under this challenge:
<ul class="custom-list">
<li><strong>Training Set</strong>: over 13,000 temporally trimmed videos.</li>
<li><strong>Validation Set</strong>: Over 1000 temporally untrimmed videos with temporal annotations of actions.</li>
<li><strong> Test Set</strong>: Over 1000 videos with withheld ground truth.</li>
<li><strong>Spatio-temporal Annotations</strong>: Bounding box annotation for 24 actions.</li>
</ul>
</p>
<p align="justify">
All videos are collected from YouTube, and their pre-extracted low-level features (e.g., Dense Trajectory Features, Improved DTF, STIP, etc.) will be made available.
</p>
<p align="justify">
The entries to the challenge will be evaluated using the new THUMOS 2014 Dataset in three tasks:
</p>
<p>
<ol class="custom-list">
<li><strong>Action Classification:</strong> accepts submissions for whole-clip action classification over 101 classes.</li>
<li><strong>Temporal Action Localization:</strong> accepts submissions on action recognition and temporal localization on over 24 action classes.</li>
<li><strong>Spatio-temporal Action Localization:</strong> accepts submissions on action recognition and spatio-temporal localization on over 24 action classes.</li>
</ol>
</p>
<p align="justify">
Participants may either submit a notebook paper that briefly describes their system, or a research paper detailing their approach. All of the submission results will be summarized during the workshop and included in the workshop\conference proceedings. Additionally, the top performers will be invited to give oral presentations, and the remaining participants are encouraged to present their work in the poster session.
</p>
<p align="center">
<strong>See last THUMOS Challenge: <a href="http://crcv.ucf.edu/ICCV13-Action-Workshop/">THUMOS 2013</a></strong>
</p>
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<h1 class="panel-title">Important Dates</h1>
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<ul class="custom-list">
<li><strong>Development Kit Release</strong> (Training+Validation data, low-level features, evaluation setup): June 2014</li>
<li><strong>Test Data Release</strong>: August 3, 2014</li>
<li><strong>Submission Deadline</strong>: August 17, 2014</li>
<li><strong>Challenge Results Notifications</strong>: August 24, 2014</li>
<li><strong>Publication date</strong>: As per conference schedule</li>
<li><strong>Workshop date</strong>: September 7, 2014 </li>
</ul>
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<h3 class="panel-title">Program Chairs</h3>
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<ul class="custom-list">
<li>Yu-Gang Jiang, Fudan University</li>
<li>Jingen Liu, SRI International</li>
<li>Amir Roshan Zamir, UCF</li>
<li>George Toderici, Google</li>
</ul>
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<h3 class="panel-title">General Chairs</h3>
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<li>Ivan Laptev, INRIA<br></li>
<li>Mubarak Shah, UCF<br></li>
<li>Rahul Sukthankar, Google Research</li>
</ul>
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<p align="center">
ECCV'14 International Workshop and Competition on Action Recognition with a Large Number of Classes
</p>
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</div>
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