A parametric video quality model based on source and network characteristics

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-f...

Full description

Saved in:
Bibliographic Details
Main Authors: Zerman, Emin, Konuk, Baris, Nur, Gokce, Akar, Gozde Bozdagi
Format: Conference Proceeding
Language:English
Subjects:
Feature extraction
network condition
no-reference metric
Packet loss
Quality assessment
Quality of experience (QoE)
Streaming media
video characteristics
video quality assessment (VQA)
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 additional network traffic for reference data. No-Reference (NR) video metrics, on the other hand, as the name suggests, are much more flexible for user-end applications. This introduces a need for robust and efficient NR VQA metrics. In this paper, an NR VQA metric considering spatiotemporal information, bit rate, and packet loss rate characteristics of a video content is proposed. The proposed metric is evaluated on EPFL-PoliMI dataset, which includes different video content characteristics. The experimental results show that the proposed metric is a robust and accurate NR VQA metric towards diverse video content characteristics.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2014.7025119