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akaturk Academic measurement

OpenAlex topic

Image and Video Quality Assessment

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 703 works 22 author topics

Works

703 works

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.9%

    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…

  2. OpenAlex top 1% OpenAlex 99.9%

    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…

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%

    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…

  4. OpenAlex top 1% OpenAlex 99.9%

    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…

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.0%

    No abstract yet.

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.0%

    No abstract yet.

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 100.0%

    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…

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.9%

    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…

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.6%

    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…

  10. OpenAlex top 1% OpenAlex 99.1%

    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…

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.4%

    We propose an Iterative Mean Filter (IMF) to eliminate the salt-and-pepper noise. IMF uses the mean of gray values of noise-free pixels in a fixed-size window. Unlike other nonlinear filters, IMF does not enlarge the window size. A large size reduces the accuracy of noise removal. Therefore, IMF only uses a window wit…

  12. SDNDASH 2016
    OpenAlex top 10% OpenAlex 98.1%

    HTTP adaptive streaming (HAS) is being adopted with increasing frequency and becoming the de-facto standard for video streaming. However, the client-driven, on-off adaptation behavior of HAS results in uneven bandwidth competition and this is exacerbated when a large number of clients share the same bottleneck network…

Academicians

22 academicians