A Novel Boundary Matching Algorithm for Video Temporal Error Concealment

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.Comment: arXiv admin note: text overlap with arXiv:1610.0738

Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

“…In the case of latter, the degradation of the visual quality is easily noticeable to the users and has a high impact on the end-user QoE [188]. As a result, strategies such as Boundary Matching Algorithm (BMA) are adopted to estimate the motion vectors for the pixels of the lost slice from the motion information available in the neighboring slices [189]- [191]. Recovery of full lost frames through texture analysis and motion vector extrapolation is also attempted as decoder-side error concealment techniques [192].…”

Video temporal error concealment using improved directional boundary matching algorithm

“…To evaluate the candidate MBs for error concealment, an efficient boundary matching algorithm [18] utilizes classic and proposed boundary matching criteria to use the spatial and temporal redundancy among video frames, adaptively. According to the error concealment priority list (which is determined by the algorithm), the algorithm performs error concealment of each video frame more accurately.…”

“…This mechanism is useful for mobile video streaming applications. Furthermore, an efficient adaptive boundary matching algorithm [22] simultaneously uses two boundary matching criteria (namely the outer boundary matching criterion (OBMC) and directional temporal boundary matching criterion (DTBMC)) to estimate more accurately the damaged MBs.…”