Filename JVT-J024.doc Title Method for Objective Video Quality Measurements Status Input Do.pdfVIP

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Filename JVT-J024.doc Title Method for Objective Video Quality Measurements Status Input Do

File: JVT-J024.doc Page: 1 Date Saved: 2003-12-03 Joint Video Team (JVT) of ISO/IEC MPEG ITU-T VCEG (ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 Q.6) 10th Meeting: Waikoloa, Hawaii, USA, 8-12 December, 2003 Document: JVT-J024 Filename: JVT-J024.doc Title: Method for Objective Video Quality Measurements Status: Input Document to JVT Purpose: Proposal, Information Author(s) or Contact(s): EePing Ong, Xiaokang Yang, Weisi Lin, Zhongkang Lu, and Susu Yao Institute For Infocomm Research 21 Heng Mui Keng Terrace, Singapore 119613 Tel: Email: (65)-6874-6856 {epong, xkyang, wslin, zklu, ssyao}@.sg Source: Institute For Infocomm Research, Singapore _____________________________ 1. ABSTRACT This proposal encompasses an objective video quality measurement method to automatically measure the perceived quality of a stream of video images. The method is based on a combined measure of distortion- invisibility, block-fidelity, and content richness fidelity. There is a need for automatic and objective video quality measurement method that is able to emulate the human vision to detect the perceived quality of a video stream. Traditionally, video quality is performed via a subjective test where a large number of human subjects are used to gauge the quality of a video but this process is not only time-consuming but and tedious and expensive to perform. This proposal describes an objective video quality measurement method for automatically gauging the perceived quality of a stream of video images using a combined feature of distortion-invisibility, block-fidelity, and content richness fidelity. It basically replaces the need of a subjective test in order to be able to gauge the perceived quality of a video stream. 2. INTRODUCTION Besides on-line and off-line visual quality evaluation, how distortion is gauged also plays a determinative role in shaping most algorithms for image and video manipulations, such as enhancement, reconstructio

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