Efficient Multi-Rate Video Encoding for HEVC-Based Adaptive HTTP Streaming

Schroeder, Damien; Ilangovan, Adithyan; Reisslein, Martin; Steinbach, Eckehard

doi:10.1109/tcsvt.2016.2599028

Cited by 29 publications

(19 citation statements)

References 18 publications

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“…[16] proposed a preliminary framework which merely copies decisions from the reference instance, resulting in considerable rate-distortion (RD) loss. [5] [7] refined this framework by searching in a pruned RDO recursion tree, reducing the RD loss to a negligible level. However, as shown later in this paper, this method cannot be directly migrated to AV1 without introducing substantial performance degradation.…”

Section: Related Workmentioning

confidence: 99%

“…Given that the rate-distortion optimizations (RDO) in multiple encodings of the same video is correlated, parameters and intermediate results from the different RDO procedures can be shared among the processes. Such parameters and intermediate results include prediction modes, motion vectors/intra modes, and block structures [5]. It has been shown [5] [6] [7] that the encoder complexity can be significantly reduced by considering block structures alone.…”

Section: Introductionmentioning

confidence: 99%

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A Bayesian Approach to Block Structure Inference in AV1-Based Multi-Rate Video Encoding

Guo¹,

Chen²,

Gu³

et al. 2018

2018 Data Compression Conference

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Due to differences in frame structure, existing multi-rate video encoding algorithms cannot be directly adapted to encoders utilizing special reference frames such as AV1 without introducing substantial rate-distortion loss. To tackle this problem, we propose a novel bayesian block structure inference model inspired by a modification to an HEVC-based algorithm. It estimates the posterior probabilistic distributions of block partitioning, and adapts early terminations in the RDO procedure accordingly. Experimental results show that the proposed method provides flexibility for controlling the tradeoff between speed and coding efficiency, and can achieve an average time saving of 36.1% (up to 50.6%) with negligible bitrate cost.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Bayesian Approach to Block Structure Inference in AV1-Based Multi-Rate Video Encoding

Guo¹,

Chen²,

Gu³

et al. 2018

2018 Data Compression Conference

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show abstract

“…[11] proposed a preliminary framework for same resolution, multiple target bit-rates encoding, where RDO decisions from the highest bit-rate encoding process were copied to other processes. This method resulted in considerable RD loss and was later improved by an RDO tree pruning algorithm [4] [5]. [12] proposed a heuristic multiple resolutions encoding algorithm for HEVC, where low resolution encoding is accelerated by a high resolution reference encoding.…”

Section: Related Workmentioning

confidence: 99%

“…Motion vectors can also be reused, as they represent the motion of objects and therefore shall be consistent across different resolutions up to a rescale factor. However, an early termination algorithm that prevents unnecessary block structure search would also terminate all subsequent motion estimations, hence it is not surprising that the encoding complexity can be greatly reduced by solely considering block structures, as proven by several papers [5] [6].…”

Section: Introductionmentioning

confidence: 99%

Fast Block Structure Determination in Av1-Based Multiple Resolutions Video Encoding

Guo

Han

Wen

2018

2018 IEEE International Conference on Multimedia and Expo (ICME)

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The widely used adaptive HTTP streaming requires an efficient algorithm to encode the same video to different resolutions. In this paper, we propose a fast block structure determination algorithm based on the AV1 codec that accelerates high resolution encoding, which is the bottle-neck of multiple resolutions encoding. The block structure similarity across resolutions is modeled by the fineness of frame detail and scale of object motions, this enables us to accelerate high resolution encoding based on low resolution encoding results. The average depth of a block's co-located neighborhood is used to decide early termination in the RDO process. Encoding results show that our proposed algorithm reduces encoding time by 30.1%-36.8%, while keeping BD-rate low at 0.71%-1.04%. Comparing to the state-of-the-art, our method halves performance loss without sacrificing time savings.

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“…Another critical aspect related to the performance of robust video streaming methods is the error detection accuracy. Since HEVC streaming is expected to use known transport technologies, such as RTP [7], MPEG-2 TS [8], or more recent standards as MPEG-DASH [9] and MPEG Media Transport [10], their error detection capabilities have significant impact on the overall system performance. In general, the error detection operation at the transport layers is decoupled from the video coding layer.…”

Section: Introductionmentioning

confidence: 99%