1. THUMOS '13: The First International Workshop on Action Recognition with a Large Number of Classes Closing notes Massimo Piccardi University of Technology, Sydney

2. State of the recognition challenge
Baseline, November 2012: 43.9% accuracy
Winner, November 2013: 85.6% accuracy
Impressive increase within a year from release!
Should this dataset be extended to become even more realistic and challenging?

3. Possible extensions More classes Perhaps an ontology? MediaMill etc
<atom:category term='Movies_sci_fi_fantasy' label='Sci-Fi/Fantasy' xml:lang='en- US'><yt:deprecated/>
</atom:category>
MediaMill etc

4. Possible extensions Untrimmed videos for testing
Videos as uploaded by the users: main action + much else before and after (other actions, null action), or simply multiple actions in the same video
Weakly-labeled training?

5. Possible extensions Multiple labels per video
Multi-label classification, including no labels

6. Possible extensions Spatio-temporal localization
Localize the action(s) in time and space
Spatial annotation is currently available for 24 classes

7. Possible extensions Attribute recognition
Recognize both the action and its attributes (or class hierarchy, ontology etc)

8. Next edition
We wish to run the next edition of THUMOS in conjunction with ECCV 2014 in Zurich
Changes and extensions to the challenge
Thank you for your participation - stay connected with this challenge!