The Action Similarity Labeling (ASLAN) Challenge

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Welcome to The Action Similarity Labeling (ASLAN) Challenge: a video database of actions and a full testing protocol for studying action similarity from videos. Detailed description of the database, benchmark and baseline experiments can be found in the following paper:

The ASLAN set contains 3697 action samples from 1571 unique YouTube videos divided into 432 non-trivial action categories. An "action sample" is defined as a sub-sequence of a shot presenting a detected action, that is, a consecutive set of frames taken by the same camera presenting one action. The action samples have been manually labeled with the name of the action carried out in each of them. 316 of the categories contain more than one sample.

ASLAN General Statistics:
Number of classes 432
Number of action samples 3,697
Number of URLs 1,571

ASLAN Class Statistics:
Average number of samples per class 8.5
Number of classes with > 1 sample 316
Class with largest number of samples "Handstand" 91 samples from 64 urls

ASLAN Videos Statistics:
Number of long samples (duration > 10 sec) 71
Number of short samples (duration < 1 sec) 187

The ASLAN benchmark is a binary pair matching (same / not-same) benchmark. The goal of the benchmark is to decide if two videos present the same action or not, following training with same and not-same labeled video pairs. Actions included in the test sets are not available at training. This means that there is no opportunity during training to build action models for actions present in the testing.

Here, we make the complete ASLAN database, as well as benchmark protocols publicly available for the research community. In addition we provide descriptor encodings of the action samples using state-of-the-art methods.

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