Region-of-interest based rate control scheme for high efficiency video coding

Meddeb, Marwa; Cagnazzo, Marco; Pesquet‐Popescu, Béatrice

doi:10.1109/icassp.2014.6855025

Cited by 22 publications

(6 citation statements)

References 18 publications

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“…Other approaches were also proposed outside of JCT-VC. In [10], a ρ-Domain based approach is proposed for Low-Delay encoding configuration and then a Region-of-Interest-based (ROI) based bitrate allocation approach is proposed in [11]. In [12], an optimal ARC is proposed using an heavy pre-analysis over the video sequence.…”

Section: Rate-control In Hevcmentioning

confidence: 99%

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

Biatek

Hamidouche

Travers

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Scalable video coding consists in compressing the video sequence into a layered bitstream where each layer refers to different spatial, temporal or quality representation of the video. Scalability enables compression gain compared to the simulcast encoding of layers thanks to inter-layer predictions. The scalable HEVC extension (SHVC) is the latest scalable technology promising up to 30% bitrate gains under the common test conditions, defined by JCT-VC. These conditions do not consider UHD and use fixed quantization step, which is not relevant in operational environment. In this paper, we propose an innovative adaptive rate control algorithm for SHVC. We consider HD as a base layer and UHD as an enhancement layer, with a constant global bitrate and a dynamic bitrate ratio adjustment between layers. The proposed algorithm is evaluated on a UHD data set where enables on average a BD-BR gain of 4.25% compared to a fixed-ratio encoding.

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Section: Rate-control In Hevcmentioning

confidence: 99%

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

Biatek

Hamidouche

Travers

et al. 2016

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…blurred in a preprocessing step prior to actual video encoding or coarsely quantized within the video encoder itself to reduce the overall bit rate [2][3][4]. A modified or externally controllable block-based hybrid video coder like Advanced Video Coding (AVC) [5] or High-Efficiency Video Coding (HEVC) [6] is employed in [7][8][9][10] and [11,12], respectively, in order to apply different QPs for the coding of ROI and non-ROI blocks.…”

Section: ) Roi Codingmentioning

confidence: 99%

Mesh-based piecewise planar motion compensation and optical flow clustering for ROI coding

Meuel

Munderloh

Reso

et al. 2015

SIP

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Mesh-based piecewise planar motion compensation and optical flow clustering for ROI codingholger meuel, marco munderloh, matthias reso and jörn ostermann For the transmission of aerial surveillance videos taken from unmanned aerial vehicles (UAVs), region of interest (ROI)-based coding systems are of growing interest in order to cope with the limited channel capacities available. We present a fully automatic detection and coding system which is capable of transmitting high-resolution aerial surveillance videos at very low bit rates. Our coding system is based on the transmission of ROI areas only. We assume two different kinds of ROIs: in order to limit the transmission bit rate while simultaneously retaining a high-quality view of the ground, we only transmit new emerging areas (ROI-NA) for each frame instead of the entire frame. At the decoder side, the surface of the earth is reconstructed from transmitted ROI-NA by means of global motion compensation (GMC) . In order to retain the movement of moving objects not conforming with the motion of the ground (like moving cars and their previously occluded ground), we additionally consider regions containing such objects as interesting (ROI-MO). Finally, both ROIs are used as input to an externally controlled video encoder. While we use GMC for the reconstruction of the ground from ROI-NA, we use meshed-based motion compensation in order to generate the pelwise difference in the luminance channel (difference image) between the mesh-based motion compensated and the current input image to detect the ROI-MO. High spots of energy within this difference image are used as seeds to select corresponding superpixels from an independent (temporally consistent) superpixel segmentation of the input image inorder to obtain accurate shape information of ROI-MO. For a false positive detection rate (regions falsely classified as containing local motion) of less than 2 we detect more than 97 true positives (correctly detected ROI-MOs) in challenging scenarios. Furthermore, we propose to use a modified high-efficiency video coding (HEVC) video encoder. Retaining full HDTV video resolution at 30 fps and subjectively high quality we achieve bit rates of about 0.6-0.9 Mbit/s, which is a bit rate saving of about 90 compared to an unmodified HEVC encoder.

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“…To enhance the quality of visual information, the sensor nodes often incorporate region-of-interest (ROI) based coding that allocates more resources to the ROI by gracefully degrading the quality of the non-ROI [3]. A key challenge of applying ROI-based coding in wireless video sensing is to guarantee the data volume generated by an ROI-based encoder (encoding rate) match the available transmission data rate.…”

Section: Introductionmentioning

confidence: 99%

An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance

Mukhopadhyay

2016

2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

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This paper presents a lightweight video sensor node for moving object surveillance using region-of-interest (ROI) based coding and an on-line multi-parameter rate controller. The proposed ROI-based coding scheme determines ROI blocks, pre-processes non-ROI blocks using bit-truncation, and encodes all blocks using Motion JPEG. The on-line rate controller modulates the parameters of the ROI-based coding scheme to match the encoded data rate and transmission data rate under the variations in channel bandwidth and input video content. The low-complexity hardware of the ROI-based coding scheme reduces computation energy, and the on-line rate controller minimizes buffer requirement. The sensor node is designed in 130nm CMOS and prototyped in a Virtex-V FPGA. Simulations show that, under the same ROI quality, the proposed approach reduces system energy by 61% compared to H.264/AVC. Figure 1: ROI-based rate controller design (a) tied to H.264/AVC and (b) based on a simple encoder (MJPEG).

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Region-of-interest based rate control scheme for high efficiency video coding

Cited by 22 publications

References 18 publications

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

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

Mesh-based piecewise planar motion compensation and optical flow clustering for ROI coding

An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance

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