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 …
Mobile edge computing based QoS optimization in medical healthcare applications
Emerging trends in mobile edge computing for developing the efficient healthcare
application such as, remote monitoring of the patients with central electronics clouds (e …
application such as, remote monitoring of the patients with central electronics clouds (e …
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 …
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 …
Efficient human motion prediction using temporal convolutional generative adversarial network
Human motion prediction from its historical poses is an essential task in computer vision; it is
successfully applied for human-machine interaction and intelligent driving. Recently …
successfully applied for human-machine interaction and intelligent driving. Recently …
Illumination-adaptive person re-identification
Most person re-identification (ReID) approaches assume that person images are captured
under relatively similar illumination conditions. In reality, long-term person retrieval is …
under relatively similar illumination conditions. In reality, long-term person retrieval is …
Crowd behavior simulation with emotional contagion in unexpected multihazard situations
Numerous research efforts have been conducted to simulate the crowd movements, while
relatively few of them are specifically focused on multihazard situations. In this paper, we …
relatively few of them are specifically focused on multihazard situations. In this paper, we …