A Novel Boundary Matching Algorithm for Video Temporal Error Concealment

TL;DR

This paper introduces an efficient boundary matching algorithm for video error concealment that improves the quality of reconstructed frames by accurately estimating damaged motion vectors with minimal additional computational cost.

Contribution

The paper presents a novel boundary matching algorithm that adaptively selects matching criteria for damaged macro blocks, enhancing video error concealment performance.

Findings

PSNR increased by about 4.7 dB in some frames

Improved subjective quality of reconstructed videos

No significant increase in computational cost

Abstract

With the fast growth of communication networks, the video data transmission from these networks is extremely vulnerable. Error concealment is a technique to estimate the damaged data by employing the correctly received data at the decoder. In this paper, an efficient boundary matching algorithm for estimating damaged motion vectors (MVs) is proposed. The proposed algorithm performs error concealment for each damaged macro block (MB) according to the list of identified priority of each frame. It then uses a classic boundary matching criterion or the proposed boundary matching criterion adaptively to identify matching distortion in each boundary of candidate MB. Finally, the candidate MV with minimum distortion is selected as an MV of damaged MB and the list of priorities is updated. Experimental results show that the proposed algorithm improves both objective and subjective qualities of reconstructed frames without any significant increase in computational cost. The PSNR for test sequences in some frames is increased about 4.7, 4.5, and 4.4 dB compared to the classic boundary matching, directional boundary matching, and directional temporal boundary matching algorithm, respectively.