Mohammed Abdel-Wahab

Learn More
One of the main barriers in the deployment of speech emotion recognition systems in real applications is the lack of generalization of the emotion classifiers. The recognition performance achieved in controlled recordings drops when the models are tested with different speakers, channels, environments and domain conditions. This paper explores supervised(More)
We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is to have control over lexical content and emotion while also promoting naturalness in the recordings. Studies on emotion perception often require stimuli with fixed lexical content, but that convey different emotions. These stimuli can also serve as an instrument to(More)
We present an efficient method for the recording of 3D point clouds using a compact handheld camera rig and an automated software pipeline for an accurate surface reconstruction. Multiple industrial cameras are mounted on a rectangular shaped frame with a size of 15cm by 15cm in order to collect images from multiple views at once. By using the presented(More)
It is commonly accepted that speaking rate is an important aspect characterizing expressive speech. The speaking rate increases for emotions such as happiness and anger, and decreases for emotions such as sadness. In spite of these observations, most of the current speech emotion classifiers do not explicitly use speaking rate features. This study explores(More)
Emotional descriptors collected from perceptual evaluations are important in the study of emotions. Many studies on emotion recognition depend on these labels to train classifiers. The reliability of the emotion descriptors vary with the number and quality of the raters. Conducting perceptual evaluations used to be an expensive and time demanding task,(More)
This paper presents an automatic procedure for combining digital images and laser scanner data in order to have a full representation of a scene. In particular, this procedure will serve photogrammetric close range applications such as 3D digital preservation and documentation of cultural heritages by generating highly virtual reality models. Our method is(More)
Over 200 components with molecular mass ranging mainly from 400 to 4000 Da were characterized from the venom of the vermivorous cone snail Conus fulgetrum that inhabit Egyptian Red Sea. One major component having a molecular mass of 2946 Da was purified by HPLC, and its primary structure was determined by a combination of Edman degradation and MS/MS(More)
When emotion recognition systems are used in new domains, the classification performance usually drops due to mismatches between training and testing conditions. Annotations of new data in the new domain is expensive and time demanding. Therefore, it is important to design strategies that efficiently use limited amount of new data to improve the robustness(More)
Real time detection and tracking of multi vehicles in airborne videos is still a challenging problem due to the camera motion and low resolution. In this paper, a real time technique for simultaneously detecting, tracking and counting vehicles in airborne and stationary camera videos is proposed. First, feature points are extracted and tracked through video(More)
Documentation of the current state of an object is often the first crucial step in cultural heritage preservation. Especially for large scale objects as buildings this task becomes complex and time consuming. Hence, there is a growing interest in new, more efficient techniques, which ease the process and reduce the financial impact of surveying actions. In(More)