[HTML][HTML] A systematic literature review on vision based gesture recognition techniques
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …
interact with computing devices and adapting to the constantly increasing demands of …
A novel CNN based security guaranteed image watermarking generation scenario for smart city applications
D Li, L Deng, BB Gupta, H Wang, C Choi - Information Sciences, 2019 - Elsevier
The rise of machine learning increases the current computing capabilities and paves the
way to novel disruptive applications. In the current era of big data, the application of image …
way to novel disruptive applications. In the current era of big data, the application of image …
From action to activity: sensor-based activity recognition
As compared to actions, activities are much more complex, but semantically they are more
representative of a human׳ s real life. Techniques for action recognition from sensor …
representative of a human׳ s real life. Techniques for action recognition from sensor …
Action2Activity: recognizing complex activities from sensor data
As compared to simple actions, activities are much more complex, but semantically
consistent with a human's real life. Techniques for action recognition from sensor generated …
consistent with a human's real life. Techniques for action recognition from sensor generated …
[HTML][HTML] A survey on sentiment analysis and opinion mining for social multimedia
Z Li, Y Fan, B Jiang, T Lei, W Liu - Multimedia Tools and Applications, 2019 - Springer
Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …
people's opinions, attitudes and emotions from social networks has become a research …
Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments
Action recognition is a challenging research area in which several convolutional neural
networks (CNN) based action recognition methods are recently presented. However, such …
networks (CNN) based action recognition methods are recently presented. However, such …
[HTML][HTML] A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation
Image segmentation plays an important role in the computer vision. However, it is extremely
challenging due to low resolution, high noise and blurry boundaries. Recently, region-based …
challenging due to low resolution, high noise and blurry boundaries. Recently, region-based …
[HTML][HTML] Underwater image enhancement using blending of CLAHE and percentile methodologies
In this paper, a method has been proposed for enhancement of underwater images
commonly suffering from low contrast and degraded shading quality. The entirety of the …
commonly suffering from low contrast and degraded shading quality. The entirety of the …
[HTML][HTML] A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation
In medical field, it remains challenging to accurately segment medical images due to low
contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this …
contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this …
[HTML][HTML] Rating prediction by exploring user's preference and sentiment
With the development of e-commerce, shopping on-line is becoming more and more
popular. The explosion of reviews have led to a serious problem, information overloading …
popular. The explosion of reviews have led to a serious problem, information overloading …