Distributed learning refers to the problem of inferring a function when the training data are
distributed among different nodes. While significant work has been done in the contexts of …

Due to the availability and increased usage of multimedia applications, features such as
compression and security has gained more importance. Here, we propose a key generation …

We focus on visually meaningful color image watermarks, we construct a new digital
watermarking scheme based on the discrete cosine transformation. The proposed method …

The importance of effective surgical wound care cannot never be underestimated. Poorly
managing surgical wounds may cause many serious complications. Thus, it raises the …

Data mining has been traditionally applied to well-structured data. With the explosion of
multimedia data methods—videos, audios, images, and Web pages, many researchers have …

Emotion is the most abstract semantic structure of images. This paper overviews recent
research on emotion semantics image retrieval. First, the paper introduces the general frame …

Currently used description based image retrieval is not suitable for an effective image
search with a large unstructured repository of images. Thus to overcome the issue the …

Image watermarking with both insensible detection and high robustness capabilities is still a
challenging problem. Even if some of the watermarking areas involve huge financial …

Background/purpose A problem in skin rendering with haptic feedback is the reconstruction
of accurate 3D skin surfaces from stereo skin images to be used for touch interactions. This …

Nowadays TV channels generate a large amount of video data each day. A very huge
number of videos of news, shows, series, movies, and so on have to be stored with the aim …