scholarly journals Discriminative Dictionary Design for Action Classification in Still Images and Videos

2021 ◽  
Author(s):  
Abhinaba Roy ◽  
Biplab Banerjee ◽  
Amir Hussain ◽  
Soujanya Poria
Keyword(s):  
Action Classification ◽  
Still Images

Generalized symmetric pair model for action classification in still images

2017 ◽  
Vol 64 ◽  
pp. 347-360 ◽  
Author(s):  
Zhichen Zhao ◽  
Huimin Ma ◽  
Xiaozhi Chen
Keyword(s):  
Symmetric Pair ◽  
Action Classification ◽  
Still Images ◽  
Pair Model

scholarly journals Viewpoint-Aware Action Recognition using Skeleton-Based Features from Still Images

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1118
Author(s):  
Seong-heum Kim ◽  
Donghyeon Cho
Keyword(s):  
Neural Networks ◽  
Action Recognition ◽  
State Of The Art ◽  
Recognition Method ◽  
Action Classification ◽  
Still Images ◽  
Real World Application ◽  
Static Images ◽  
3D Skeleton ◽  
2D And 3D

In this paper, we propose a viewpoint-aware action recognition method using skeleton-based features from static images. Our method consists of three main steps. First, we categorize the viewpoint from an input static image. Second, we extract 2D/3D joints using state-of-the-art convolutional neural networks and analyze the geometric relationships of the joints for computing 2D and 3D skeleton features. Finally, we perform view-specific action classification per person, based on viewpoint categorization and the extracted 2D and 3D skeleton features. We implement two multi-view data acquisition systems and create a new action recognition dataset containing the viewpoint labels, in order to train and validate our method. The robustness of the proposed method to viewpoint changes was quantitatively confirmed using two multi-view datasets. A real-world application for recognizing various actions was also qualitatively demonstrated.

Efficient Fire Pixel Segmentation Using Color Models in Still Images

2018 ◽  
Vol 6 (9) ◽  
pp. 23-28
Author(s):  
M.Senthil Vadivu ◽  
Vijayalakshmi M.N
Keyword(s):  
Still Images ◽  
Color Models

Multimedia: Myths and Realities

2013 ◽  
Author(s):  
Andy Large ◽  
Jamshid Behesti ◽  
Alain Breuleux ◽  
Andre Renaud
Keyword(s):  
Educational Context ◽  
User Group ◽  
Information Industry ◽  
Primary School Students ◽  
School Students ◽  
Still Images ◽  
Information Product ◽  
Mcgill University ◽  
The Impact

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Multimedia products are now widely available on a variety of platforms, and there is a widespread assumption that the addition of still images, animation and sound to text will enhance any information product. The research reported in this paper investigates such claims for multimedia in an educational context and for a specific user group: grad-six primary school students. The students' ability to recall, make inferences from, and comprehend articles presented to them in print, as text on screen, and in mutlimedia format has been mesured. The findings to date suggest that the impact of multimedia is subtle, and that generalisations about the effectiveness of multimedia, at least with children in an educational context, should be employed cautionously. The long-term goal is to identify design criteria which can be employed in the production of multimedia products for schools.

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