Joint optimization of scale factors and huffman code books for MPEG-4 AAC

Bauer, Claus; Vinton, Mark

doi:10.1109/mmsp.2004.1436432

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…Selection of SFs and HCBs in the encoder is done to minimize the perceptual distortion, given as maximum over SFBs of quantization noise to masking threshold ratio (MNMR), (1) where the masking threshold, , is provided by a psychoacoustic model. Since the standard only dictates the bitstream syntax and the decoder part of the codec, numerous techniques to optimize the encoder parameters have been proposed (e.g., [1], [14]- [17]). Specifically, the MPEG AAC verification model (publicly available as informative part of the MPEG standard) optimizes the encoder parameters via a low-complexity technique known as the two-loop search (TLS) [1], [14].…”

Section: B Mpeg Aacmentioning

confidence: 99%

Cascaded Long Term Prediction for Enhanced Compression of Polyphonic Audio Signals

Nanjundaswamy

Rose

2014

IEEE/ACM Trans. Audio Speech Lang. Process.

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Abstract-Audio compression systems exploit periodicity in signals to remove inter-frame redundancies via the long term prediction (LTP) tool. This simple tool capitalizes on the periodic component of the waveform by selecting a past segment as the basis for prediction of the current frame. However, most audio signals are polyphonic in nature, containing a mixture of several periodic components. While such polyphonic signals may themselves be periodic with overall period equaling the least common multiple of the individual component periods, the signal rarely remains sufficiently stationary over the extended period, rendering the LTP tool suboptimal. Instead of seeking a past segment that represents a "compromise" for incompatible component periods, we propose a more complex filter that predicts every periodic component of the signal from its immediate history, and this is achieved by cascading LTP filters, each corresponding to individual periodic component. We also propose a recursive "divide and conquer" technique to estimate parameters of all the LTP filters. We then demonstrate the effectiveness of cascaded LTP in two distinct settings of the ultra low delay Bluetooth Subband Codec and the MPEG Advanced Audio Coding (AAC) standard. In MPEG AAC, we specifically adapt the cascaded LTP parameter estimation to take into account the perceptual distortion criteria, and also propose a low decoder complexity variant. Objective and subjective results for all the settings validate the effectiveness of the proposal on a variety of polyphonic signals.

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Section: B Mpeg Aacmentioning

confidence: 99%

Cascaded Long Term Prediction for Enhanced Compression of Polyphonic Audio Signals

Nanjundaswamy

Rose

2014

IEEE/ACM Trans. Audio Speech Lang. Process.

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“…We emphasize again that this reference is in itself an improvement over existing scalable encoders that employ suboptimal techniques. As an aside, note that the mixed integer linear programming-based approach proposed in [13] can serve as an alternative to the intra-frame trellis of [7].…”

Section: A Independent Optimization Of Layers In Scalable Aacmentioning

confidence: 99%

“…A low-complexity sub-optimal alternative was proposed in [12]. A mixed integer linear programming-based solution to the same problem was proposed by Bauer and Vinton in [13]. The approach in [7] was extended in [8] to incorporate delayed decisions, i.e., optimizing decisions over multiple frames.…”

mentioning

confidence: 99%

Joint Optimization of Base and Enhancement Layers in Scalable Audio Coding

Ravelli

Melkote

Nanjundaswamy

et al. 2013

IEEE Trans. Audio Speech Lang. Process.

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Abstract-Current scalable audio coders typically optimize performance at a particular layer without regard to impact on other layers, and are thus unable to provide a performance trade-off between different layers. In the particular case of MPEG Scalable Advanced Audio Coding (S-AAC) and Scalable-to-Lossless (SLS) coding, the base-layer is optimized first followed by successive optimization of higher layers, which ensures optimality of the base-layer but results in a scalability penalty that progressively increases with the enhancement layer index. The ability to trade-off performance between different layers enables alignment to the real world requirement for audio quality commensurate with the bandwidth afforded by a user. This work provides the means to better control the performance tradeoffs, and the distribution of the scalability penalty, between the base and enhancement layers. Specifically, it proposes an efficient joint optimization algorithm that selects the encoding parameters for each layer while accounting for the rate-distortion costs in all layers. The efficacy of the technique is demonstrated in the two distinct settings of S-AAC, and SLS High Definition Advanced Audio Coding. Objective and subjective tests provide evidence for substantial gains, and represent a significant step toward bridging the gap with the non-scalable coder.

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“…In [2], two algorithms that determine the optimal choice of the SF and HCB for a given configuration in the AN M R problem are proposed. They are based on a mixed integer linear and a dynamic programming solution, respectively.…”

Section: Previous Workmentioning

confidence: 99%

“…Using the definition of the variables Z g,i,a,b and eg,i,m, one sees that the definition of the objective function in (9) corresponds to the definition of the objective function in (2).…”

Section: Milp Formulation For the An M R Problemmentioning

confidence: 99%

The optimal choice of encoding parameters for MPEG-4 AAC streamed over wireless networks

Bauer

2005

Proceedings of the 1st ACM Workshop on Wireless Multimedia Networking and Performance Modeling

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This paper addresses a novel linear programming based approach to optimize the choice of the encoding parameters for the MPEG-4 AAC audio codec. Current techniques solve the encoding problem for MPEG-4 AAC by splitting the encoding procedure into a sequence of smaller problems that are solved heuristically. In contrast, we approach the coding problem as multidimensional optimization problem and achieve large performance gains compared with current methods.

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Joint optimization of scale factors and huffman code books for MPEG-4 AAC

Cited by 11 publications

References 11 publications

Cascaded Long Term Prediction for Enhanced Compression of Polyphonic Audio Signals

Cascaded Long Term Prediction for Enhanced Compression of Polyphonic Audio Signals

Joint Optimization of Base and Enhancement Layers in Scalable Audio Coding

The optimal choice of encoding parameters for MPEG-4 AAC streamed over wireless networks

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