- Image and Video Quality Assessment
- Video Coding and Compression Technologies
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Computer Graphics and Visualization Techniques
- Multimedia Communication and Technology
- Turkey's Politics and Society
- Video Analysis and Summarization
- Advanced Data Compression Techniques
- Public Administration and Governance
- Educational and Psychological Assessments
- Image Enhancement Techniques
- South Asian Studies and Diaspora
- Hydropower, Displacement, Environmental Impact
- Educator Training and Historical Pedagogy
- Advanced Optical Imaging Technologies
- English Language Learning and Teaching
- Smart Parking Systems Research
- Multimodal Machine Learning Applications
- Adsorption and Cooling Systems
- Education and Communication Studies
- Augmented Reality Applications
- Advanced Image Fusion Techniques
- Catalytic Processes in Materials Science
- Solar-Powered Water Purification Methods
Abdul Wali Khan University Mardan
2024
Nokia (Germany)
2024
Holon Institute of Technology
2023
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
2016-2022
Adnan Menderes University
2016
University of Engineering and Technology Peshawar
2015
BMW Group (Germany)
2015
This paper aims to introduce the Positive Language Teaching Approach (PLT hereafter), an innovative approach combining positive psychology principles with language learning and teaching enhance linguistic competence emotional resilience. The is introduced through its theoretical foundations in PERMA model, emphasizing potential foster meaningful, engaging, collaborative experiences. After synthesizing previous research, components, principles, limitations of PLT are discussed. Critiques...
The study focuses on eco-awareness in Amitav Ghosh's novels Hungry Tide and Gun Island its significance eco-literature. Using rich storytelling the relationships of myth, history science, Ghosh tackles environmental challenges such as climate change, loss biodiversity human-nature conflict. Focusing Sundarbans Tide, paper explores configuration ecological fragility cohabitation, goes to discuss how this is globalised Island, calling structured attention connections between crises human...
Volumetric video allows viewers to experience highly-realistic 3D content with six degrees of freedom in mixed reality (MR) environments. Rendering complex volumetric videos can require a prohibitively high amount computational power for mobile devices. A promising technique reduce the burden on devices is perform rendering at cloud server. However, cloud-based systems suffer from an increased interaction (motion-to-photon) latency that may cause registration errors MR One way reducing...
Volumetric video is an emerging technology for immersive representation of 3D spaces that captures objects from all directions using multiple cameras and creates a dynamic model the scene. However, processing volumetric content requires high amounts power still very demanding task today's mobile devices. To mitigate this, we propose streaming system offloads rendering to powerful cloud/edge server only sends rendered 2D view client instead full content. We use 6DoF head movement prediction...
In low light or short-exposure photography the image is often corrupted by noise. While longer exposure helps reduce noise, it can produce blurry results due to object and camera motion. The reconstruction of a noise-less an ill posed problem. Recent approaches for denoising aim predict kernels which are convolved with set successively taken images (burst) obtain clear image. We propose deep neural network based approach called Multi-Kernel Prediction Networks (MKPN) burst denoising. MKPN...
Volumetric video is an emerging key technology for immersive representation of 3D spaces and objects. Rendering volumetric requires lots computational power which challenging especially mobile devices. To mitigate this, we developed a streaming system that renders 2D view from the at cloud server streams stream to client. However, such network-based processing increases motion-to-photon (M2P) latency due additional network delays. In order compensate added latency, prediction future user...
In this paper we propose a hybrid tracking method which detects moving objects in videos compressed according to H.265/HEVC standard. Our framework largely depends on motion vectors (MV) and block types obtained by partially decoding the video bit stream occasionally uses pixel domain information distinguish between two objects. The is based Markov Random Field (MRF) model that captures spatial temporal coherence of object updated frame-to-frame basis. nature our approach stems from usage...
The quality-bitrate relationship is not necessarily as straightforward in volumetric video content 2D video. This caused by the different components affecting overall quality of disproportional to their bitrates. Therefore, switching a combination higher bitrate improve may always produce best outcome when making rate-adaptation decisions for streaming. To address this problem, study proposes new logic named Volumetric Video Rate Adaptation (V2RA). experiments performed using MPEG Immersive...
Compression performance of a video codec is very important to enable it encode high quality videos at low bitrates. Significant progress has been made in the area encoding. The latest state art encoding standard, High Efficiency Video Coding -- HEVC/H.265 doubles for same bitrate compared other codecs. This paper presents & comparison amongst H.265, H.264 and, Motion JPEG using different libraries. Alongside need compression efficiency, also keep computational complexity In this regards,...
This paper investigates the robustness of two state-of-the-art action recognition algorithms: a pixel domain approach based on 3D convolutional neural networks (C3D) and compressed requiring only partial decoding video, feature description using motion vectors Fisher vector encoding (MV-FV). We study algorithms against: (i) quality variations, (ii) changes in video scheme, (iii) resolutions. Experiments are performed HMDB51 dataset. Our main findings that C3D is robust to variations these...
This demo presents a mixed reality (MR) application that enables free-viewpoint rendering of interactive high-quality volumetric video (VV) content on Nreal Light MR glasses, web browsers via WebXR and Android devices ARCore. The uses novel technique for animation VV humans split framework real-time streaming over 5G edge-cloud servers. presented XR experience showcases photorealistic representations two humans. As the user moves in scene, one virtual follows with his head, conveying...
Modern driver assistance systems enable a variety of use cases which rely on accurate localization information all traffic participants. Due to the unavailability satellite-based localization, infrastructure cameras is promising alternative in indoor spaces such as parking garages. This paper presents management system extends previous work eValet with low-complexity tracking functionality compressed video bitstreams (compressed-domain tracking). The advantages this approach include improved...
In this paper we present a compressed-domain object tracking algorithm for H.264/AVC compressed videos and integrate the proposed into an indoor vehicle scenario at car park. Our works by taking initial segmentation map or bounding box of target in first frame video sequence as input applying Graph Cuts optimization based on Markov Random Field model. does not rely pixels (except frame) only using codec motion vectors block coding modes extracted from bitstream via inexpensive partial...
Rendering multiple high-quality volumetric videos is still a challenge for today's mobile devices. Remote rendering offloads complex operations to powerful server and provides the final result end device as 2D video stream. A drawback of remote significant increase interaction latency that can degrade user experience. We present planar homography-based approach compensates minor changes user's head pose due by warping transmitted image on client-side, just before it sent display. In detail,...
Historically, medical education has used quizzes to provide knowledge assessments and feedback. This study investigates the impact of a quiz-based formative assessment with instantaneous feedback on learning experiences students, specifically focusing retention, comprehension, engagement. Objective: To examine students’ comprehension material, their perception effectiveness questionnaire-based pre post-quiz evaluation approach its effects psychological factors like motivation,...
The purpose of the quantitative study was to scrutinize consequences bullying on student learning and behavior. aimed investigate at Abdul Wali Khan University Mardan, its impact graduate students, causes effects, reasons for students' non-reporting. BS programs students chemical life sciences Mardan (garden campus) were populations this study. A sample one hundred selected randomly. 100 (10 male 10 female students) from five departments comprising Biochemistry, Biotechnology, Botany,...
We study the uplink delivery of live video using adaptive HTTP streaming (AHS). In AHS, process simultaneously creating levels at different rates is computationally demanding and quickly exceeds computational capacity mobile devices. As a remedy, we propose network-aware level selection approach which reduces number that need to be encoded. To this end, develop an algorithm selects reduced set from static pre-defined based on TCP throughput information. More specifically, during session...
Derrida, dilbilimi ve felsefe arasında kurduğu köprüyle, felsefenin iletişimsel bir faaliyet olarak yeniden kurgulanması kadar, post-yapısalcı ile tarihsel olan arasındaki ilişkiyi onararak, düşünsel dünyada büyük çığır açar. Dilbilimi fonoloji üzerinden yürüttüğü tartışma, bizi dilin, tüm kullanımıyla değer-bezeli muhtevası olduğuna yine bu değerlerin aydınlanma sonrası pozitivist okul içerisinde ete kemiğe bürünen nesnellik iddialarıyla çevrelenmiş yapı üzerine inşa edildiğini açıklar. Ona...
In our MM'20 paper,, we presented a Kalman filter-based approach for prediction of head motion in 6DoF. The proposed was employed cloud-based volumetric video streaming system to reduce the interaction latency experienced by user. this companion paper, present dataset collected experiments and simulation framework that reproduces obtained experimental results. Our implementation is freely available on Github facilitate further research.
Bu çalışmada, küreselleşmenin temel niteliklerine dair bir tartışma yapılarak, ulus-devlet ve kamu yönetiminin küreselleşme süreciyle olan ilişkisi birkaç boyutuyla ele alınmıştır. Küreselleşme olgusunun, yalnızca kesiminin hizmet, hız kapasitesinde artışı değil, finansallaşma küresel sermayeyle bütünleşmeyi çok yönlü biçimde gerçekleştirdiği söylenebilir. Küreselleşmeyle modern toplumda bulunan eğilimin hayata geçtiği savunulabilir. Küreselleşme; tarih-üstü değil tarihsel, kendiliğinden...
Bu calismada, kuresellesmenin temel niteliklerine dair bir tartisma yapilarak, ulus-devlet ve kamu yonetiminin kuresellesme sureciyle olan iliskisi birkac boyutuyla ele alinmistir. Kuresellesme olgusunun, yalnizca kesiminin hizmet, hiz kapasitesinde artisi degil, finansallasma kuresel sermayeyle butunlesmeyi cok yonlu bicimde gerceklestirdigi soylenebilir. Kuresellesmeyle modern toplumda bulunan egilimin hayata gectigi savunulabilir. Kuresellesme; tarih-ustu degil tarihsel, kendiliginden...