H Yu, F He, Y Pan - Multimedia Tools and Applications, 2018 - Springer
It is always difficult to accurately segment images with intensity inhomogeneity because most of the representative local-based models only take into account rough local information …
With rapid development in wireless sensor networks and continuous improvements in developing artificial intelligence-based scientific solutions, the concept of ambient assisted …
Y Liu, Q Guan, X Zhao - Multimedia Tools and Applications, 2018 - Springer
Conventional copy-move forgery detection methods mostly make use of hand-crafted features to conduct feature extraction and patch matching. However, the discriminative …
W Lu, F Fan, J Chu, P Jing… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the rapid development of the wireless sensor network and the continuous improvement of its key technologies, the concept of Internet of Things has been encouraged and extended …
W Wei, X Fan, H Song, H Wang - Multimedia Tools and Applications, 2019 - Springer
Video frame manipulation has become commonplace with the growing easy access to powerful computing abilities. One of the most common types of video frame tampers is the …
Y Zhou, X Yang, Y Ling, J Zhang - Multimedia Tools and Applications, 2018 - Springer
Multilevel thresholding is a very important image processing technique in the field of image segmentation. However, the computational complexity of determining the optimal threshold …
Motion capture data describe human movements in the form of spatio-temporal trajectories of skeleton joints. Intelligent management of such complex data is a challenging task for …
M Souaidi, AA Abdelouahed, M El Ansari - Multimedia Tools and …, 2019 - Springer
This paper deals with ulcer abnormalities detection of small bowel, from wireless capsule endoscopy images (WCE). We propose a multi-scale approach based on completed local …
Image authentication based on robust image hashing has been widely discussed with continuous improvements. However, most of the existing methods misjudge the images …