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1
Intro
2
THUMOS 2014
3
Outline
4
Action Recognition in Temporally Untrimmed Videos
5
Action Recognition Video Datasets
6
What about TRECVID?
7
Statistics of the Data Partitions
8
Video Resolution (Spatial & Temporal)
9
THUMOS Test Video Set
10
Validation Data Collection
11
Annotation Pipeline: Positive Examples
12
Viper Toolkit
13
Annotation Pipeline Background Examples
14
Example Positive Annotations
15
Ambiguous Video Segments Examples (Excluded from Eval)
16
Searching for Disambiguated Things
17
Freebase Topics Gotchas
18
Challenges with Evaluation Videos (1)
19
THUMOS Benchmark Choices
20
Future Benchmark Requirements
Description:
Learn about action recognition in temporally untrimmed videos through this 26-minute lecture from the University of Central Florida. Explore the THUMOS 2014 dataset, its collection process, and annotation pipeline. Discover challenges in video data evaluation, including spatial and temporal resolution considerations. Examine the use of tools like the Viper Toolkit for annotation and understand the complexities of labeling positive and background examples. Gain insights into handling ambiguous video segments and the intricacies of searching for disambiguated content. Delve into the challenges of using Freebase topics and the specific requirements for future benchmarks in action recognition.

Action Recognition in Temporarily Untrimmed Videos

University of Central Florida
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