An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Zabihi S.zM.; Ghanei Yakhdan H.; MEHRSHAD N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING Year:2020 | Volume:16 | Issue:4 Page(s): 461-473

Download Full-Text

View:

158

Download:

125

Cites:

Information Journal Paper

Title

An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis

Author(s)

Zabihi S.zM. | Ghanei Yakhdan H. | MEHRSHAD N. | Issue Writer Certificate

Keywords

Temporal Error Concealment

Video Scene

Weighted Averaging

Motion Vector Estimation

H.264/AVC

Abstract

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.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Zabihi, S.zM., Ghanei Yakhdan, H., & MEHRSHAD, N.. (2020). An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis. IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING, 16(4), 461-473. SID. https://sid.ir/paper/299927/en

Vancouver: Copy

Zabihi S.zM., Ghanei Yakhdan H., MEHRSHAD N.. An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis. IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING[Internet]. 2020;16(4):461-473. Available from: https://sid.ir/paper/299927/en

IEEE: Copy

S.zM. Zabihi, H. Ghanei Yakhdan, and N. MEHRSHAD, “An Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis,” IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING, vol. 16, no. 4, pp. 461–473, 2020, [Online]. Available: https://sid.ir/paper/299927/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops