IF-RD optimisation for bandwidth compression in video HEVC and congestion control in wireless networks using dolphin echolocation optimisation with FEC

B. Kumar
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Abstract

At present, the latest standard for coding the videos is high-efficiency video coding (HEVC) technique. Owing to limitations of wireless channels on time variability and bandwidth, video transmission to multiple mobile users is difficult. Inter frame-rate distortion (IF-RD) is the technique used in this paper, and it provides more clear videos with a reduction in motion signal by compressing bandwidth and enhancing optimisation in HEVC. First, the multi-resolution encoder encodes the video by employing a fusion strategy called IF-RD optimisation strategy. In order to improve performance and achieve noiseless transmission, the forward error correction (FEC) and dolphin echolocation optimisation techniques are integrated. Token-based congestion control (TBCC) reduces messages that are dropped due to congestion in the network. It also provides computation time. By adopting HEVC, the system performs well and achieves better compression in bandwidth and saves better Peak signal-to-noise ratio (PSNR) data rate with no extra time for encoding.
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视频HEVC中带宽压缩的IF-RD优化和无线网络中使用FEC的海豚回声定位优化的拥塞控制
目前,对视频进行编码的最新标准是高效视频编码(HEVC)技术。由于无线信道在时变和带宽上的限制,给多个移动用户传输视频带来了困难。帧间速率失真(IF-RD)是本文使用的技术,它通过压缩带宽和增强HEVC的优化来减少运动信号,从而提供更清晰的视频。首先,多分辨率编码器通过采用称为IF-RD优化策略的融合策略对视频进行编码。为了提高性能和实现无噪声传输,将前向纠错(FEC)和海豚回声定位优化技术相结合。基于令牌的拥塞控制(TBCC)减少了由于网络拥塞而丢失的消息。它还提供了计算时间。采用HEVC后,系统在不增加编码时间的情况下,实现了较好的带宽压缩和峰值信噪比(PSNR)数据率。
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