GHEVC: An Efficient HEVC Decoder for Graphics Processing Units

Souza, Diego F. de; Ilić, Aleksandar; Roma, Nuno; Sousa, Leonel

doi:10.1109/tmm.2016.2625261

Cited by 23 publications

(9 citation statements)

References 23 publications

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“…Moreover, in one frame of the encoding process, due to referring to the inter-frame, the encoder needs a reconstruction frame, which has a reconstruction path and stores the frame in a buffer. The process of decoding is just an inverse of the encoding [39].…”

Section: Framework Of Hevcmentioning

confidence: 99%

A multi-level approach with visual information for encrypted H.265/HEVC videos（China MM）

Wen

Zhang

et al. 2022

Preprint

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High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our knowledge, almost all of the existing HEVC encryption algorithms mainly encrypt the whole video, such that the user without permissions cannot obtain any viewable information. However, these encryption algorithms cannot meet the needs of customers who need part of the information but not the full information in the video. In many cases, such as professional paid videos or video meetings, users would like to observe some visible information in the encrypted video of the original video to satisfy their requirements in daily life. Aiming at this demand, this paper proposes a multi-level encryption scheme that is composed of lightweight encryption, medium encryption and heavyweight encryption, where each encryption level can obtain a different amount of visual information. First, we employ AES-CTR to generate a pseudo-random number sequence. Then, the main syntax elements in the H.265/HEVC encoding process are encrypted by a pseudorandom sequence. In the lightweight encryption level, the syntax element of the luma intraprediction model is chosen for encryption. In the medium encryption level, the syntax element of the discrete cosine transform (DCT) coefficient sign is employed for scrambling encryption. In the heavyweight encryption level, syntax elements of both the luma intraprediction model and the DCT coefficient sign are encrypted simultaneously by the pseudorandom sequence. It is found that both encrypting the luma intraprediction model (IPM) and scrambling the syntax element of the DCT coefficient sign can achieve the performance of a distorted video in which there is still residual visual information, while encrypting both of them can implement the intensity of encryption and one cannot gain any visual information. The experimental results meet our expectations appropriately, indicating that there is a different amount of visual information in each encryption level. Meanwhile, users can flexibly choose the encryption level according to their various requirements.

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Section: Framework Of Hevcmentioning

confidence: 99%

A multi-level approach with visual information for encrypted H.265/HEVC videos（China MM）

Wen

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Previous research in this field which focused on CPU + GPU heterogeneous platforms mainly tackled motion estimation as a functional block with the highest computational load [7,8]. A step further was taken with massive parallelization in [9] and all functional blocks of HEVC decoder, except entropy decoder, were ported to GPU. Quite the contrary, solutions with TQ acceleration using FPGAs rather than the GPU [10] are much more represented as a research topic.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Performance engineering for HEVC transform and quantization kernel on GPUs

et al. 2020

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Continuous growth of video traffic and video services, especially in the field of high resolution and high-quality video content, places heavy demands on video coding and its implementations. High Efficiency Video Coding (HEVC) standard doubles the compression efficiency of its predecessor H.264/AVC at the cost of high computational complexity. To address those computing issues high-performance video processing takes advantage of heterogeneous multiprocessor platforms. In this paper, we present a highly performance-optimized HEVC transform and quantization kernel with all-zero-block (AZB) identification designed for execution on a Graphics Processor Unit (GPU). Performance optimization strategy involved all three aspects of parallel design, exposing as much of the application's intrinsic parallelism as possible, exploitation of high throughput memory and efficient instruction usage. It combines efficient mapping of transform blocks to thread-blocks and efficient vectorized access patterns to shared memory for all transform sizes supported in the standard. Two different GPUs of the same architecture were used to evaluate proposed implementation. Achieved processing times are 6.03 and 23.94 ms for DCI 4K and 8K Full Format, respectively. Speedup factors compared to CPU, cuBLAS and AVX2 implementations are up to 80, 19 and 4 times respectively. Proposed implementation outperforms previous work 1.22 times.

show abstract

Section: Framework Of Hevcmentioning

confidence: 99%

A multi-level approach with visual information for encrypted H.265/HEVC videos

Wen¹,

Tu²,

Zhang³

et al. 2020

Preprint

View full text Add to dashboard Cite

High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our knowledge, almost all of the existing HEVC encryption algorithms mainly encrypt the whole video, such that the user without permissions cannot obtain any viewable information. However, these encryption algorithms cannot meet the needs of customers who need part of the information but not the full information in the video. In many cases, such as professional paid videos or video meetings, users would like to observe some visible information in the encrypted video of the original video to satisfy their requirements in daily life. Aiming at this demand, this paper proposes a multi-level encryption scheme that is composed of lightweight encryption, medium encryption and heavyweight encryption, where each encryption level can obtain a different amount of visual information. First, we use AES-CTR to generate a pseudo-random number sequence. Then, the main syntax elements in the H.265/HEVC encoding process are encrypted by a pseudo-random sequence. In the lightweight encryption level, the syntax element of the luma intraprediction model is chosen for encryption. In the medium encryption level, the syntax element of the DCT coefficient sign is employed for scrambling encryption. In the heavyweight encryption level, syntax elements of both the luma intraprediction model and the DCT coefficient sign are encrypted simultaneously by the pseudo-random sequence. It is found that both encrypting the luma intraprediction model (IPM) and scrambling the syntax element of the DCT coefficient sign can achieve the performance of a distorted video in which there is still residual visual information, while encrypting both of them can implement the intensity of encryption and one cannot gain any visual information. The experimental results meet our expectations appropriately, indicating that there is a different amount of visual information in each encryption level. Meanwhile, users can flexibly choose the encryption level according to their various requirements.

show abstract

GHEVC: An Efficient HEVC Decoder for Graphics Processing Units

Cited by 23 publications

References 23 publications

A multi-level approach with visual information for encrypted H.265/HEVC videos（China MM）

A multi-level approach with visual information for encrypted H.265/HEVC videos（China MM）

Performance engineering for HEVC transform and quantization kernel on GPUs

A multi-level approach with visual information for encrypted H.265/HEVC videos

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