Visual quality metric using one-dimensional histograms of motion vectors

Ho-Sung Han; Dong-O Kim; Rae-Hong Park; Dong-Gyu Sim

doi:10.1117/12.766948

28 January 2008 Visual quality metric using one-dimensional histograms of motion vectors

Ho-Sung Han, Dong-O Kim, Rae-Hong Park, Dong-Gyu Sim

Proceedings Volume 6808, Image Quality and System Performance V; 68080H (2008) https://doi.org/10.1117/12.766948
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Quality assessment methods are classified into three types depending on the availability of the reference image or video: full-reference (FR), reduced-reference (RR), or no-reference (NR). This paper proposes efficient RR visual quality metrics, called motion vector histogram based quality metrics (MVHQMs). In assessing the visual quality of a video, the overall impression of a video tends to be regarded as the visual quality of the video. To compare two motion vectors (MVs) extracted from reference and distorted videos, we define the one-dimensional (horizontal and vertical) MV histograms as features, which are computed by counting the number of occurrences of MVs over all frames of a video. For testing the similarity between MV histograms, two different MVHQMs using the histogram intersection and histogram difference are proposed. We evaluate the effectiveness of the two proposed MVHQMs by comparing their results with differential mean opinion score (DMOS) data for 46 video clips of common intermediate format (CIF)/quarter CIF (QCIF) that are coded under varying bit rates/frame rates with H.263. We compare the performance of the proposed metrics and conventional quality measures. Experimental results with various test video sequences show that the proposed MVHQMs give better performance than the conventional methods in various aspects such as the performance, stability, and data size.

Citation Download Citation

Ho-Sung Han, Dong-O Kim, Rae-Hong Park, and Dong-Gyu Sim "Visual quality metric using one-dimensional histograms of motion vectors", Proc. SPIE 6808, Image Quality and System Performance V, 68080H (28 January 2008); https://doi.org/10.1117/12.766948

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available