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JCR 2016
جستجوی مقالات
یکشنبه 23 آذر 1404
Iranian Journal of Electrical and Electronic Engineering
، جلد ۱۶، شماره ۴، صفحات ۴۶۱-۴۷۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis
چکیده انگلیسی مقاله
In order to enhance the accuracy of the motion vector (MV) estimation and also reduce the error propagation issue during the estimation, in this paper, a new adaptive error concealment (EC) approach is proposed based on the information extracted from the video scene. In this regard, the motion information of the video scene around the degraded MB is first analyzed to estimate the motion type of the degraded MB. If the neighboring MBs possess uniform motion, the degraded MB imitates the behavior of neighboring MBs by choosing the MV of the collocated MB. Otherwise, the lost MV is estimated through the second proposed EC technique (i.e., IOBMA). In the IOBMA, unlike the conventional boundary matching criterion-based EC techniques, not only each boundary distortion is evaluated regarding both the luminance and the chrominance components of the boundary pixels, but also the total boundary distortion corresponding to each candidate MV is calculated as the weighted average of the available boundary distortions. Compared with the state-of-the-art EC techniques, the simulation results indicate the superiority of the proposed EC approach in terms of both the objective and subjective quality assessments.
کلیدواژههای انگلیسی مقاله
Temporal Error Concealment, Video Scene, Weighted Averaging, Motion Vector Estimation, H.264/AVC.
نویسندگان مقاله
| S. M. Zabihi
Electrical Engineering Department, Yazd University, Yazd, Iran.
| H. Ghanei-Yakhdan
Electrical Engineering Department, Yazd University, Yazd, Iran.
| N. Mehrshad
Electrical and Computer Engineering Department, University of Birjand, Birjand, Iran.
نشانی اینترنتی
http://ijeee.iust.ac.ir/browse.php?a_code=A-10-649-3&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
5-Image Processing
نوع مقاله منتشر شده
Research Paper
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