Enhancing the Error Detection Capabilities of the Standard Video Decoder using Pixel Domain Dissimilarity Metrics

Farrugia, Reuben A.; Debono, Carl James

doi:10.1109/eurcon.2007.4400259

Cited by 7 publications

(10 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the method proposed in [8] reduces the compression efficiency of the codec while the other approaches provide limited protection. The performance of the Pixel-level artefact detection mechanisms proposed in [11] - [13] employ heuristic thresholds which are sequence dependent. Machine learning algorithms were recently introduced to detect the visually impaired MBs to be concealed [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Robust Video Transmission Using Reversible Watermarking Techniques

Facciol

Farrugia

2010

2010 IEEE International Symposium on Multimedia

Self Cite

View full text Add to dashboard Cite

Abstract-This paper presents a novel error-resilient strategy which employs a reversible watermarking technique to protect the H.264/AVC video content. The proposed scheme adopts reversible watermarking to embed an error detection codeword within every Macroblock (MB). The watermark is then extracted at the decoder and used to detect the corrupted MBs to be concealed. The proposed scheme further manages to recover the original video content after watermark extraction, thus providing no loss in video quality. The simulation results demonstrate that the proposed approach provides a substantial gain of up to 2.6 dB in Peak Signal-to-Noise Ratio (PSNR) relative to the standard with a minimal increase in complexity.

show abstract

Section: Introductionmentioning

confidence: 99%

Robust Video Transmission Using Reversible Watermarking Techniques

Facciol

Farrugia

2010

2010 IEEE International Symposium on Multimedia

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, this method only manages to detect 57% of the corrupted MBs. Different error detection and concealment methods have been proposed which exploit the inherent redundancies within and outside an MB [5] - [7] at pixel level. However, these features achieve low detection rates when applied individually.…”

Section: Introductionmentioning

confidence: 99%

Robust transmission of H.264/AVC sequences using list decoding and source constraints

Farrugia¹,

Debono

2008

MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference

View full text Add to dashboard Cite

Abstract-Video compression standards commonly adopted in wireless multimedia transmission systems generally apply variable length codes (VLCs) to achieve the required datarates. The resulting bitstreams are sensitive to transmission errors which cause visual artifacts that propagate in both spatial and temporal domains, thus reducing significantly the quality of the reconstructed video sequences. This paper proposes the application of a List Decoder to improve the quality of H.264/AVC encoded sequences. This method relies on sequence estimation and residual source redundancies to recover feasible images. The recovered images may still contain errors which may cause visually distorted macroblocks (MBs). Therefore, the Average Intersample Difference across Boundaries (AIDB) metric was used to detect these visually impaired MBs at pixel level which are then adequately concealed. Simulation results show that the proposed algorithm manages to achieve Peak Signal-to-Noise (PSNR) gains of up to 2.17 dB when compared to the conventional decoding method. The proposed solution is fully compatible with the H.264/AVC standard and no additional bandwidth is required. Index Terms-Error correction coding, error resilient coding, H.264/AVC, video coding, wireless video transmission. I. INTRODUCTIONULTIMEDIA communication services necessitate efficient video compression standards in order to deliver high quality content within limited bandwidths. H.264/AVC seems to be an attractive candidate for all wireless video applications mainly because of its enhanced compression efficiency and network friendly design [1]. However, it is sensitive to transmission errors, which are common in wireless environments, where a single corrupted bit may cause visual distortions which will significantly reduce the perceptual quality of the reconstructed video sequence.A feedback channel, commonly used for reliable data transmission, cannot be adopted in typical conversational and multicast/broadcast applications because of delay constraints and the unavailability of the feedback channel respectively. Moreover, low bit-rate and low delay applications generally adopt the baseline profile which has limited error-resilient mechanisms [2], [3].In order to solve these problems, a number of errorresilient mechanisms were proposed in literature. authors have applied syntax analysis in order to detect corrupted macroblocks (MBs). However, this method only manages to detect 57% of the corrupted MBs. Different error detection and concealment methods have been proposed which exploit the inherent redundancies within and outside an MB [5] -[7] at pixel level. However, these features achieve low detection rates when applied individually. To alleviate this problem, the authors in [8] have combined a set of pixel level features and applied heuristic thresholds. They have also applied an iterative error correction algorithm which has achieved a significant gain in Peak Signal-to-Noise Ratio (PSNR) at the expense of a significant increase in complexity, which makes ...

show abstract

“…Various pixel-level artefact detection mechanisms based on heuristic thresholds were proposed in (Superiori, L. et. al, 2007), (Farrugia, R.A. & Debono, C.J., 2007) and (Ye, S., et. al, 2003).…”

Section: Related Workmentioning

confidence: 99%