Complexity-aware adaptive bit-rate control with dynamic ROI pre-processing for scalable video coding

Abstract

We present a novel efficient complexity-aware adaptive bitrate control with dynamic Region-of-Interest pre-processing (pre-filtering) for the Scalable Video Coding (SVC), which is an extension of H.264/AVC. According to the proposed approach, we adaptively vary various parameters of the SVC pre-filters, such as standard deviations and a number of filters for the dynamic pre-processing of a transition region between the ROI and background, thereby enabling to dynamically adjust the desired SVC settings. Our adaptive bit-rate control is based on an SVC computational complexity-rate-distortion (C-R-D) analysis, thereby adding a complexity dimension to the conventional Region-of-Interest SVC rate-distortion analysis. As a result, the ROI SVC visual presentation quality is significantly improved, which can be especially useful for various resource-limited devices, such as mobile devices. The performance of the presented adaptive ROI SVC preprocessing scheme is evaluated and tested in detail, further comparing it to the Joint Scalable Video Model reference software (JSVM 9.19) and demonstrating significant improvements both in quality and bit-rate.Index Terms -Regions-of-interest video coding, preprocessing/pre-filtering, bit-rate control, image/video coding, Regions-of-interest scalability, high-quality visual presentation, Scalable Video Coding, H.264/AVC.

Complexity-Aware Adaptive Preprocessing Scheme for Region-of-Interest Spatial Scalable Video Coding

“…It is noted that the C-R-D analysis presented in authors' previous research in [5] and [29] was extended to support the SVC systems. Also, for simplicity, the SVC Layer 0 is defined as the ROI, which, in turn, can be a crop of Layer 1, as presented, for example, in authors' initial research [30], [31]. This work extends authors' previous research by further providing a detailed discussion of the proposed complexity-aware adaptive preprocessing scheme for the ROI spatial SVC and the ROI SVC computational C-R-D model (Section IV), and accompanying the discussion by a plurality of experimental results (Section V).…”

Adaptive rate control algorithm for SHVC: Application to HD/UHD

“…All these contributions perform RC outside of the encoders, by truncating the scalable bitstreams to fit targeted bitrates. In [18], a complexity-aware ARC is proposed for ROI coding, the bitrate of layers are dynamically adjusted depending on the estimated computational complexity. In [19], a StatMux method using SVC for multicast application is proposed, programmes are jointly encoded separating BL and EL which are sent in different channels.…”

Filtering Scheme for ROI Coding by Dynamic Range Compression and Updating Source Picture Filter

“…Low-pass filter has been conventionally used in filtering scheme (13,15) . This filter reduces the amount of bits in background region by suppressing the high-frequency components.…”

“…In case of H.264 / MPEG4 AVC, range of the quality parameter is defined as value from 0 to 51. Another method for ROI coding is filtering scheme which filters background region of a picture to reduces bit amount before encoding (13)(14)(15) . For instance, a low-pass filter such as the Gaussian filter can reduce bit amount in background region.…”