Encoder-independent decoder-dependent depth-assisted error concealment algorithm for wireless 3D video communication

Daosh

Haggag

et al. 2021

Preprint

Self Cite

In this paper, we present hybrid watermarking and error control techniques for reliable cornea and infrared frame communication through wireless networks in Internet of Things (IoT) applications. In the proposed watermarking technique, two stages of Singular Value Decomposition (SVD) watermarking are used. In the embedding stage, two watermark images are embedded in either the cornea or infrared frames using Block-based SVD (B-SVD) and SVD schemes, respectively. Then, the resulting watermarked cornea or infrared frames are transmitted through an erroneous wireless channel. At the receiver, the received corrupted cornea or infrared frames are recovered using a proposed hybrid post-processing error control technique. This technique comprises a Circular Spatial-scan Order Interpolation Algorithm (CSOIA) and a temporal Partitioning Motion Compensation Algorithm (PMCA) to reconstruct the erroneous cornea or infrared frames. Then, the Bayesian Kalman Filter (BKF) is utilized in the amelioration process due to its efficiency to smooth the remanent inherent corruptions in the formerly reconstructed frames to obtain high cornea or infrared video quality. After that, the watermark extraction stage is implemented to extract the watermark images from the watermarked frames. Simulation results on several cornea and infrared frames show that the suggested hybrid watermarking, and error control techniques reveal adequate subjective and objective video quality compared to those obtained with the traditional methods. In addition, the watermark detectability, robustness, and security are enhanced. Moreover, the experimental results show that the proposed watermarking technique is superior and more secure than the other previous techniques for embedding and extraction of watermarks, efficiently, in the presence of attacks.

“…The proposed BKF enhancement algorithm is introduced in this section. It proved its efficiency in the previous work [9,11]…”

Section: Proposed Bkf Enhancement Algorithmsupporting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Hybrid Error Control and Security Framework for Reliable Cornea and Infrared Video Communication in IoT Applications

Daosh

Haggag

et al. 2021

Preprint

Self Cite

“…The EC techniques suggested to preserve 1D or 2D videos against communication faults may be exploited to recover lost 3DV MBs. It is foreseeable that they will operate more effective in recovering the 3D video frames with losses because of the trait of the inter‐view matching . In this paper, we suggest improved joint adaptive ER‐EC techniques for 3DV transmission over wireless networks.…”

Section: Introductionmentioning

confidence: 99%

“…It is foreseeable that they will operate more effective in recovering the 3D video frames with losses because of the trait of the inter-view matching. [9][10][11][12][13][14] In this paper, we suggest improved joint adaptive ER-EC techniques for 3DV transmission over wireless networks. At the encoder side, the context adaptive variable length coding (CAVLC) entropy, slice structured coding (SSC) modes, and explicit flexible macroblock ordering (EFMO) mapping are used.…”

Section: Introductionmentioning

confidence: 99%

“…The ER techniques are used so as to let the transported 3D videos to be further robust to likelihood fading‐induced bit errors to mitigate the effect of packet loss and to enhance the performance of concealment methods at the decoder. The concealment methods are needed as they decrease the transmission corruptions without requiring sophisticated encoder amendments or increasing the communication delay.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proposed dynamic error control techniques for QoS improvement of wireless 3D video transmission

El‐Rabaie

El-Halawany

et al. 2018

Int J Communication

Self Cite

Summary Error control techniques like error resilience (ER) and error concealment (EC) are efficient techniques to ameliorate the lost macroblocks (MBs) in the 3D video (3DV) communication system. In this paper, we propose efficient and adaptive hybrid ER‐EC algorithms for 3DV transmission over error‐prone wireless channels. At the encoder, adaptive preprocessing ER mechanisms are proposed through using the context adaptive variable length coding entropy, slice structured coding modes, and explicit flexible macroblock ordering mapping. They are used to assist the suggested EC techniques at the decoder to accurately reconstruct the erroneous MBs and frames. At the decoder, an efficient postprocessing EC technique with multiproposition methods is proposed to dynamically select the convenient EC hypothesis method based on the size of the lost MBs, the faulty view, and the frame type. It conceals the received erroneous MBs of intra‐encoded and inter‐encoded frames of the transmitted 3DV by exploiting the temporal, spatial, and inter‐view correlations among frames and views. To further improve the decoded 3DV quality, a weighted overlapping block motion and disparity compensation technique is used to reinforce the performance of the suggested ER‐EC techniques. Experimental results on various 3DV streams prove that the suggested techniques have considerably acceptable subjective and objective 3DV performance. They achieve an improved average peak signal‐to‐noise ratio gain by almost 2.85 dB compared to the conventional error control algorithms at a packet loss rate = 40%.

Optimized two‐level scheduler for video traffic in LTE downlink framework

Elhadad

El‐Rabaie

et al. 2021

Int J Communication

Self Cite

The most challenging issue in long-term evolution (LTE) mobile networks is the design of an optimal scheduler. The main target of the LTE scheduling strategy is to guarantee a certain level of quality of service (QoS) in order to satisfy users' needs. In this work, a novel queue-optimized two-level scheduling strategy is introduced. The queue-optimized scheduler has the ability to support both real-time (RT) and non-RT (NRT) services in the LTE downlink framework. The first level of the proposed scheduler depends on an optimized queue length threshold that is dynamically adapted to adjust the assigned resources for the video traffic to maintain the throughput around its average value. The proposed scheduling strategy is utilized to efficiently enhance the radio resource allocation process for video traffic by minimizing the allocation of any excess unwanted resources, which consequently facilitates the support of more video connections and enhances the overall network spectral efficiency. The distribution of the resources among users for RT and NRT applications is actually performed at the second level of the scheduling process. The physical resource blocks (PRBs) are assigned according to the enhanced earliest due date first (EEDDF) mechanism. The proposed scheduling strategy prioritizes users according to their service requirements, to improve the QoS provision. The proposed scheduler maximizes the video applications throughput, and generally, minimizes the packet delay and the packet loss rate (PLR) for RT applications.