Saddam Bekhet

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Verified

Saddam verified their affiliation via an institutional email.

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• PhD
• Associate Professor & Head of Quantitative Techniques Department at South Valley University

This paper presents a suggested framework for video matching based on local features extracted from the DC-image of MPEG compressed videos, without decompression. The relevant arguments and supporting evidences are discussed for developing video similarity techniques that works directly on compressed videos, without decompression, and especially ut...

This paper presents a fast and effective technique for videos' visual similarity detection and measurement using compact fixed-length signatures. The proposed technique (Dominant Colour Graph Profile DCGP) extracts and encodes the spatio-temporal information of a given video shot into a graph-based structure (tree) that fully captures this vital in...

This paper presents a fast and effective technique for videos’ visual similarity detection and measurement using compact fixed-length signatures. The proposed technique facilitates for building real-time and scalable video matching/retrieval systems through generating a representative signature for a given video shot. The generated signature (Stati...

Abstract— This paper presents a novel technique for efficient and generic matching of compressed video shots, through compact signatures extracted directly without decompression. The compact signature is based on the Dominant Color Profile (DCP); a sequence of dominant colors extracted and arranged as a sequence of spikes in analogy to the human re...

This paper presents an improved frame-to-frame (F-2-F) compressed video matching technique based on local features extracted from reduced size images, in contrast with previous F-2-F techniques that utilized global features extracted from full size frames. The revised technique addresses both accuracy and computational cost issues of the traditiona...

p>Human gender recognition is an essential demographic tool. This is reflected in forensic science, surveillance systems and targeted marketing applications. This research was always driven using standard face images and hand-crafted features. Such way has achieved good results, however, the reliability of the facial images had a great effect on th...

Sign languages is a critical requirement that helps deaf people to express their needs, feelings and emotions using a variety of hand gestures throughout their daily life. This language had evolved in parallel with spoken languages, however, it do not resemble its counterparts in the same way. Moreover, it is as complex as any other spoken language...

Videos are considered the new era communication language between internet users due to the explosion of smart-phones usage and increase in internet bandwidth and storage space. This has fueled the need to develop robust video analysis techniques. Specifically, video classification presents a unique task for field researchers, as it has numerous cri...

The COVID-19 pandemic is a significant milestone in the modern history of civilization with a catastrophic effect on global wellbeing and monetary. The situation is very complex as the COVID-19 test kits are limited, therefore, more diagnostic methods must be developed urgently. A significant initial step towards the successful diagnosis of the COV...

Automated glasses detection is a cardinal component in facial/ocular analysis that powers forensic, surveillance and biometric authentication systems. Throughout literature, glasses detection was always experimented by either utilizing hand‐crafted or deep learning features. Nevertheless, in both cases, highly standard face/ocular images were neede...

Similarity measures are very crucial especially in the field of information retrieval. Thus, various distance/similarity measures were proposed throughout the literature. In the video retrieval field, videos are represented as multi-dimensional features vector. Once this features vector is extracted from video shots; the retrieval task is primarily...

The quantity of digital videos is huge, due to technological advances in video capture, storage and compression. However, the usefulness of these enormous volumes is limited by the effectiveness of content-based video retrieval systems (CBVR). Video matching for the retrieval purpose is the core of these CBVR systems where videos are matched based...

Detection of facial landmarks and their feature points plays an important role in many facial image-related applications such as face recognition/verification, facial expression analysis, pose normalization, and 3D face reconstruction. Generally, detection of facial features is easy for persons; however, for machines it is not an easy task at all....

This article presents a framework for speedy video matching and retrieval through detection and measurement of visual similarity. The framework’s efficiency stems from its power to encode a given shot content into a compact fixed-length signature that helps in robust real-time matching. Separate scene and motion signatures are developed and fused t...

This chapter presents a suggested framework for video matching based on local features extracted directly from the DC-image of MPEG compressed videos, without full decompression. In addition, the relevant arguments and supporting evidences are discussed. Several local feature detectors will be examined to select the best for matching using the DC-i...

Software quality metrics are very crucial in software development. As a result, many metrics suites were proposed by various researchers and practitioners to measure and assess software quality. Most of those exisitng suites captures specific dimension of quality, such as class size or polymorphism , coupling and cohesion, and give results hesita...

Software metrics provide essential means for software practitioners to assess its quality. However, to assess software quality, it is important to assess its UML models because of UML wide and recent usage as an object-oriented modeling language. But the issue is which type of software metrics can be utilized on UML models. One of the most importan...