Performance Evaluation of Transcoding Algorithms for H. 264

Lefol, Damien; Bull, David; Canagarajah, C N; Rovati, F

doi:10.1109/icce.2006.1598487

Cited by 15 publications

(15 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An alternative to requantization, which is called DCT coefficient dropping or dynamic rate shaping, directly cuts high-frequency coefficients from each macroblock [6]. More recently, different bit rate adaption methods have been proposed for H.264/AVC bitstreams [7]- [10]. An efficient mixed transrating architecture containing a low complexity scheme combined with a drift cancelling closed-loop scheme was proposed in [8].…”

Section: Introductionmentioning

confidence: 99%

Efficient Bit Rate Transcoding for High Efficiency Video Coding

Van

Praeter

Wallendael

et al. 2016

IEEE Trans. Multimedia

View full text Add to dashboard Cite

Abstract-High efficiency video coding (HEVC) shows a significant advance in compression efficiency and is considered to be the successor of H.264/AVC. To incorporate the HEVC standard into real-life network applications and a diversity of other applications, efficient bit rate adaptation (transrating) algorithms are required. A current problem of transrating for HEVC is the high computational complexity associated with the encoder part of such a cascaded pixel domain transcoder. This paper focuses on deriving an optimal strategy for reducing the transcoding complexity with a complexity-scalable scheme. We propose different transcoding techniques which are able to reduce the transcoding complexity in both CU and PU optimization levels. At the CU level, CUs can be evaluated in top-to-bottom or bottom-to-top flows, in which the coding information of the input video stream is utilized to reduce the number of evaluations or to early terminate certain evaluations. At the PU level, the PU candidates are adaptively selected based on the probability of PU sizes and the co-located input PU partitioning. Moreover, with the use of different proposed methods, a complexity-scalable transrating scheme can be achieved. Furthermore, the transcoding complexity can be effectively controlled by the machine learning based approach. Simulations show that the proposed techniques provide a superior transcoding performance compared to the state-of-the-art related works. Additionally, the proposed methods can achieve a range of trade-offs between transrating complexity and coding performance. From the proposed schemes, the fastest approach is able to reduce the complexity by 82% while keeping the bitrate loss below 3%.Index Terms-Bit rate adaptation, complexity scalable transcoding, high efficiency video coding (HEVC), machine learning.

show abstract

Section: Introductionmentioning

confidence: 99%

Efficient Bit Rate Transcoding for High Efficiency Video Coding

Van

Praeter

Wallendael

et al. 2016

IEEE Trans. Multimedia

View full text Add to dashboard Cite

show abstract

“…Considerable research efforts have been dedicated to the design of H.264 video codec [7][8][9][10]. H.264/AVC provides the best performance in terms of its rate-distortion efficiency amongst the existing standards [11,12].…”

mentioning

confidence: 99%

Near-Capacity H.264 Multimedia Communications Using Iterative Joint Source-Channel Decoding

Nasruminallah

Hanzo

2012

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Abstract-In this tutorial, a unified treatment of the topic of near capacity multimedia communication systems is offered, where we focus our attention not only on source and channel coding but also on their iterative decoding and transmission schemes. There is a paucity of up-to-date surveys and review articles on the unified treatment of the topic of near capcity multimedia communication systems using iterative detection aided joint source-channel decoding employing sophisticated transmission techniques -even though there is a plethora of papers on both iterative detection and video telephony. Hence this paper aims to fill the related gap in the literature.Index Terms-Multimedia communications, H.264 video transmission, joint source-coding and channel coding, iterative detection, near-capacity wireless communications, EXIT charts, irregular channel codes, video standards. I. ADVANCES IN MULTIMEDIA CODING ROBUST transmission of multimedia source coded streams over diverse wireless communication networks constitutes a challenging research topic [1,2]. Recent advances in the world of telecommunication and multimedia systems resulted in the design of improved transmission techniques. However, bearing in mind the volume of information produced by high definition multimedia communication systems and the limited availability of unoccupied bandwidth at carrier frequencies, where beneficial propagation conditions prevail, the design of efficient multimedia systems at low bit-rate requires careful attention. Hence the design of improved coding techniques is important for the successful implementation of various multimedia communication systems, in order to reduce the amount of information required for flawless interactive multimedia communications [1]. An overview of advances in the field of video coding is presented in Table I.The rest of the paper is organised as follows. A prelimenary introduction about H.264 video coding is provided in Section I-A followed by the details about our input source codec parameters in Section I-B. An overview of the iterative detection is provided in Section II. Section III portrays our employed video transmission scheme using Short Block Code (SBC) based iterative source-channel decoding. SBCs are used for achieving guaranteed convergence in soft-bit assisted iterative Joint Source-Channel Decoding (JSCD), which facilitates improved iterative Unequal Source-Symbol Probability Aided (USSPA) operations. The schematic of the proposed SBC based iterative source-channel decoding arrangement is presented in Section III-A. Section II-A provides the details about the iterative source channel decoding aided receivers, followed by the introduction about EXIT charts in Section II-B. The iterative convergence analysis using SBCs is provided in Section III-B, followed by the proposed SBCs in Section III-C. The performance of the proposed system is characterised with the aid of EXIT chart analysis in Section III-D and Section III-E. Furthermore, the performance improvements of the proposed SBCs using ...

show abstract

“…3. Various transcoding architectures for coded video are described in [11] and [12]. The Cascaded Pixel Domain architecture is shown to produce the most optimal R-D curve.…”

Section: Introductionmentioning

confidence: 99%

“…The closed loop FPDT generally gives better performance than the open loop system [12]. I-frame encryption and sign bit encryption were both used with the closed and open loop architectures.…”

Section: Introductionmentioning

confidence: 99%

A Novel Secure H.264 Transcoder using Selective Encryption

Thomas

Lefol

Bull

et al. 2007

2007 IEEE International Conference on Image Processing

View full text Add to dashboard Cite

In digital broadcast TV systems, video data is normally encrypted before transmission. For in-home redistribution, it is often necessary to transcode the bitstream to achieve optimum utilization of available bandwidth. If a signal is decrypted before transcoding and re-encrypted, this may lead to a security loophole. This paper presents a solution in the form of a novel H.264 selective encryption algorithm that encrypts sign bits of transform coefficients and motion vectors to allow secure transcoding without decryption. The performance of this system is compared with I-frame encryption. The results show that sign encryption is more secure than I-frame encryption and has a lower complexity. A hybrid system using a modified transcoder and sign encryption is found to give an optimal compromise between security and transcoding performance.

show abstract

Performance Evaluation of Transcoding Algorithms for H. 264

Cited by 15 publications

References 8 publications

Efficient Bit Rate Transcoding for High Efficiency Video Coding

Efficient Bit Rate Transcoding for High Efficiency Video Coding

Near-Capacity H.264 Multimedia Communications Using Iterative Joint Source-Channel Decoding

A Novel Secure H.264 Transcoder using Selective Encryption

Contact Info

Product

Resources

About