Image and Video Quality Assessment

Today, the technology for video streaming over the Internet is converging towards a paradigm named HTTP-based adaptive streaming (HAS), which brings two new features. First, by using HTTP/TCP, it leverages network-friendly TCP to achieve both firewall/NAT traversal and bandwidth sharing. Second, by pre-encoding and st…

• ALİ CENGİZ BEĞEN

Adaptive (video) streaming over HTTP is gradually being adopted, as it offers significant advantages in terms of both user-perceived quality and resource utilization for content and network service providers. In this paper, we focus on the rate-adaptation mechanisms of adaptive streaming and experimentally evaluate tw…

We present techniques for steganalysis of images that have been potentially subjected to steganographic algorithms, both within the passive warden and active warden frameworks. Our hypothesis is that steganographic schemes leave statistical evidence that can be exploited for detection with the aid of image quality fea…

• İSMAİL AVCIBAŞ

In this survey, we present state-of-the-art bitrate adaptation algorithms for HTTP adaptive streaming (HAS). As a key distinction from other streaming approaches, the bitrate adaptation algorithms in HAS are chiefly executed at each client, i.e., in a distributed manner. The objective of these algorithms is to ensure…

• ALİ CENGİZ BEĞEN

With an increasing demand for high-quality video content over the Internet, it is becoming more likely that two or more adaptive streaming players share the same network bottleneck and compete for available bandwidth. This competition can lead to three performance problems: player instability, unfairness between playe…

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• İDRİS GÖKSU

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• MURAT ÇOBAN

Research efforts on 3DTV technology have been strengthened worldwide recently, covering the whole media processing chain from capture to display. Different 3DTV systems rely on different 3D scene representations that integrate various types of data. Efficient coding of these data is crucial for the success of 3DTV. Co…

• GÖZDE AKAR

The average US consumer watches TV for almost five hours a day. While the majority of viewed content is still broadcast TV programming, the share of the time-shifted content is on the rise. One-third of US viewers currently use a digital video recorder like device, but trends indicate that more consumers are migrating…

• TANKUT AKGÜL

The average US consumer watches TV for almost five hours a day. While the majority of viewed content is still broadcast TV programming, the share of the time-shifted content is on the rise. One-third of US viewers currently use a digital video recorder like device, but trends indicate that more consumers are migrating…

• ALİ CENGİZ BEĞEN

Computational saliency models for still images have gained significant popularity in recent years. Saliency prediction from videos, on the other hand, has received relatively little interest from the community. Motivated by this, in this paper, we study the use of deep learning for dynamic saliency prediction and prop…

• İBRAHİM AYKUT ERDEM
• MEHMET ERKUT ERDEM

Prior work has shown that two or more adaptive streaming players can be unstable when they compete for bandwidth. The root cause of the instability problem is that, in Steady-State, a player goes through an ON-OFF activity pattern in which it overestimates the available bandwidth. We propose a server-based traffic sha…