Gokce Nur Yilmaz

• PhD (University of Surrey)
• Professor (Associate) at TED University

Crowdfunding has emerged as a critical financial solution that democratizes capital access, driving innovation and economic development. The integration of Artificial Intelligence (AI) into crowdfunding management offers numerous strategic benefits, such as predicting success rates or detecting fraud. Previous research efforts have showcased the po...

Our story-based use cases demonstrate how various users interact with the “Open Access CULTEXP” database on cultural expertise for research, and educational purposes. The database provides a wealth of information about diverse cultures, their practices, and expert insights to cater to a wide range of user needs and interests. In this edition, the T...

Many dehazing methods have been presented by many researchers either on single hazy images or multiple images like videos. Single image dehazing is a very challenging problem, since there is no ground truth image and/or depth map. Beyond many traditional dehazing methods, with the increasing volume of hazy image datasets, recent literature about de...

A three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic vision obtained with the human vision system (HVS). The reason for the usage of these high-cost and...

Workshop description and objectives: Digital breakthroughs in the healthcare industry have been brought about by the use of wearable, robotics-assisted, handheld, and smart technologies. Especially the field of robotics has provided a wealth of instruments that are highly valuable for doing research in the domain of movement science. Given the demo...

The changing level of haze is one of the main factors which affects the success of the proposed dehazing methods. However, there is a lack of controlled multi-level hazy dataset in the literature. Therefore, in this study, a new multi-level hazy color image dataset is presented. Color video data is captured for two real scenes with a controlled lev...

The changing level of haze is one of the main factors which affects the success of the proposed dehazing methods. However, there is a lack of controlled multi-level hazy dataset in the literature. Therefore, in this study, a new multi-level hazy color image dataset is presented. Color video data is captured for two real scenes with a controlled lev...

The impact of 3 Dimensional (3D) video technologies on user perception of 3D videos can only be highlighted by considering the impact of these technologies on user perception of 3D videos. It is true that enabling this can be accomplished by taking into account the crucial criteria of defining the nature of a 3D video. Under the light of this fact,...

A new Car Tracking Dataset

Fog and haze naturally or artificially appearing in the environment, limit human visibility. As a way of improving the visibility, digital images are captured and many different image enhancement methods are applied to remove the fog and haze effects. One of the fundamental methods is the Dark Channel Prior (DCP) method. DCP can remove fog and haze...

A thorough investigation of the characteristics of 3D videos and the circumstances that support them in content-related contexts is necessary to help advance 3D video adaption systems. In order to create an advanced 3D video Quality of Experience (QoE) based adaptation framework for smart service management of future communication networks, various...

The images which are captured in indoors and/or outdoors may be badly impacted when sufficient light does not exist. The pictures’ low dynamic range and high noise levels may have an impact on the overall success of computer vision systems. Computer vision applications become more powerful in low light situations when low light picture augmentation...

Automatic gender classification from face images has been a popular topic among researchers for a decade. Feature extraction and classification methods are very important to create a successful automatic classification system. Due to the richness of face image datasets today, many successful machine learning and deep learning methods has been imple...

Vegetation index algorithms based on radiance and/or reflectance data in the Visible Near Infrared (VNIR) band are created for multispectral and hyperspectral images to detect vegetation. By this way, vegetation and soil regions can be separated from each other. Furthermore, vegetation maturity and health can be observed and tracked. Besides VNIR b...

A novel scalable video adaptation framework is developed to achieve the aim of ensuring enhanced Rate-Distortion (R-D) performances for the ubiquitous multimedia communication services in this study. This novel framework also integrates novel contributions in its development process. As the first contribution, novel models evaluating the motion inf...

There is an urgent need for a robust video quality assessment (VQA) model that can efficiently evaluate the quality of a video content varying in terms of the distortion and content type in the absence of the reference video. Considering this need, a novel no reference (NR) model relying on the spatiotemporal statistics of the distorted video in a...

Ubiquitous multimedia applications diffuse our everyday life activities which appreciate their significance about improving our experiences. Therefore, proliferation of the multimedia applications enhancing these experiences needs critical attention of the researchers. Considering this motivation, to overcome the possible barrier of the proliferati...

The interest of users towards three-dimensional (3D) video is gaining momentum due to the recent breakthroughs in 3D video entertainment, education, network, etc. technologies. In order to speed up the advancement of these technologies, monitoring quality of experience of the 3D video, which focuses on end user’s point of view rather than service-o...

Currently, one of the trending research topics among the researchers assisting to the enhancement of the 3D video services relies on the 3 Dimensional (3D) video Quality of Experience (QoE) prediction metric development process. The researches for this trending topic can be ensured by characterizing the 3D video related features in the most compati...

Requirement for video adaptation improves day by day together with video applications enhancing with the same ratio. The video adaptation concept indicates modifying required features of the video content to satisfy the user visually while the content is viewed using different devices, different environmental conditions and under dissimilar constra...

Providing enhanced 3 Dimensional (3D) video Quality of Experience (QoE) to the end users relies on the developments of the metrics reliably and efficiently predicting this QoE. Using the predicted QoE, the 3D video services can then be induced to deliver 3D video ensuring better QoE. Envisaging that the reliability of these metrics can only be supp...

3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for researchers working in this area. The reason is there isn't any well accepted and standardized VQA method for 3 Dimensional (3D) as for 2-Dimensional (2D) video. Depth perception assessment (DPE) is the most critical part of 3D VQA because of visual realism. Subjective...

In this study, a novel, content aware audiovisual quality assessment (AVQA) method using a spatio-temporal characteristics based video classification method has been proposed and evaluated on AVQA database created by University of Plymouth. The proposed AVQA method is evaluated using subjective audio mean opinion score (MOS) and subjective video MO...

The increasing demand for streaming video raises the need for flexible and easily implemented Video Quality Assessment (VQA) metrics. Although there are different VQA metrics, most of these are either Full-Reference (FR) or Reduced-Reference (RR). Both FR and RR metrics bring challenges for on-the-fly multimedia systems due to the necessity of addi...

Although a significant research effort has been carried out for investigating 3 Dimensional (3D) video display, transmission, coding, etc, the same is not applicable for 3D video adaptation. In addition, ambient illumination, spatial resolution and 3D video content related contexts have not been particularly considered in a hybrid manner for the 3D...

3-Dimensional (3D) video adaptation decision taking is an open field in which not many researchers have carried out investigations yet compared to 3D video display, coding, etc. Moreover, utilizing ambient illumination as an environmental context for 3D video adaptation decision taking has particularly not been studied in literature to date. In thi...

In the last two decades the Internet technology has boosted and the connection speeds have been incrased from kilobits to hundred megabits scale. With the rising coverage of the Internet and the usage of mobile devices such as tablets and smart phones, the usage of social media and especially multimedia elements has been increased rapidly. This inc...

3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for today's researchers along with the growing interest in 3D video. Even though, 2-Dimensional (2D) objective VQA metrics that are widely utilized by researchers in literature, the case is not the same for the 3D video. Therefore, subjective tests, which are inefficient i...

Recent technological breakthroughs in 3-Dimensional (3D) video capture, display, coding, transmission, rendering, etc. have led the advances of 3D multimedia applications into the consumer market. However, the effect of these technologies on 3D video Quality of Experience (QoE) has not been thoroughly investigated to speed up the wide-spread prolif...

Many researchers have been developing objective video quality assessment methods due to increasing demand for perceived video quality measurement results by end users to speed-up advancements of multimedia services. However, most of these methods are either Full-Reference (FR) metrics, which require the original video or Reduced-Reference (RR) metr...

With increasing demand on video applications, the video quality estimation became an important issue of today's technological world. There are different researchers and institutions working on video quality estimation. Most of the objective Video Quality Assessment (VQA) algorithms are Full-Reference (FR) metrics, and they require the original vide...

3 Dimensional (3D) video provides a realistic viewing experience to users due to the addition of depth sensation to 2-Dimensional (2D) video. Nevertheless, the advancement of 3D video technologies (e.g., transmission, coding, etc) is in its early stage. To support the proliferation of 3D video technologies for the “Future Internet” users, predictio...

In order to speed up the wide-spread proliferation of the 3D video technologies (e.g., coding, transmission, display, etc), the effect of these technologies on 3D perception should be efficiently and reliably investigated. Using Full-Reference (FR) objective metrics for this investigation is not practical especially for “on the fly” 3D perception e...

Today’s Internet multimedia services are characterized by heterogeneous networks, a wide range of terminals, diverse user preferences, and varying natural environment conditions. Heterogeneity of terminals, networks, and user preferences impose nontrivial challenges to the Internet multimedia services for providing seamless multimedia access partic...

Three different advanced adaptation techniques for improving the video perception of users are proposed in this paper. The proposed techniques exploit different adaptation decision-taking and adaptation approaches to adapt particular core parameters while considering diverse contextual information and constraints to achieve improved video perceptio...

In this paper, the sensitivity of the HVS towards binocular disparity depth cue, which is the most important cue in modern stereoscopic 3D displays, is investigated under different ambient illumination conditions. The experimental results indicate that as ambient illumination increases the sensitivity of the HVS for depth details increases or the J...

For enjoying 3D video to its full extent, access and consumption of 3D content should be user centric, which in turn ensures enhanced quality of user experience. The experience nevertheless is easily influenced by several factors, including content characteristics, users' preferences, contexts prevailing in various usage environments, etc. Utilizin...

To speed-up the proliferation of advanced 3-Dimensional (3D) technologies into the consumer market, the influence of these technologies on the perception of 3D video should be determined. Currently, this can only be achieved using either subjective assessment techniques or 2D objective quality evaluation models. Even though the subjective assessmen...

For enjoying D video to its full extent, it is imperative that access and consumption of it is user centric, which in turn ensures improved D video perception. Several important factors including video characteristics, users’ preferences, contexts prevailing in various usage environments, etc have influences on D video perception. Thus, to assist e...

In this letter, a new bit rate adaptation decision taking technique is proposed based on the observations that ambient illumination context has an effect on the perceived video quality. Motion activity and structural complexity characteristics of a video content are utilized as the content-related contexts in the proposed technique. Experimental re...

The ability to provide a realistic perception of depth is the core added functionality of modern 3D video display systems. At present, there is no standard method to assess the perception of depth in 3D video. Existence of such methods would immensely enhance the progression of 3D video research. This paper focuses on the depth perception assessmen...

For enjoying 3D video to its full extent, access and consumption of 3D content should be user centric, which in turn ensures enhanced quality of user experience. The experience nevertheless is easily influenced by several factors, including content characteristics, users' preferences, contexts prevailing in various usage environments, etc. Utilizin...

Despite the burgeoning advances in 3D video technologies, 3D video adaptation is still in its infancy. 3D video has a multidimensional nature. To support the growth of 3D adaptation technologies, key factors that characterise this nature should be thoroughly studied. Spatial resolution is one of the important factors characterising this nature. Thu...

In a knowledge-based content adaptation framework, video adaptation can be performed in a series of steps, named conversions. The high-level decision phase in such a framework occasionally encounters several feasible parameter values of a specific conversion. This paper proposes to transfer further decisions to a low-level phase that decides which...

Scalable Video Coding (SVC), which offers a comprehensive set of scalability options including spatial, temporal, and quality scalabilities, is considered to be one of the core enabling technologies for realising the universal multimedia access (UMA). Efficiently utilising the functionalities of these options to satisfy the demand of better visual...

Universal Multimedia Access (UMA) concept provides the transparent access of multimedia content by addressing the diversity of terminal device capabilities, access network technologies, user preferences, and usage environment conditions. UMA concept has an ultimate aim of maximising the Quality of Experience (QoE). As a result, systems that follow...