Histogram-based image retrieval requires some form of quantization since the raw color images result in large dimensionality in the histogram representation. Simple uniform quantization disregards the spatial information among pixels in making histograms. Since traditional vector quantization (VQ) with squared-error distortion employs only the first moment, it neglects the relationship among ve...

In this paper, an efficient local operator, namely the Local Quantization Code (LQC), is proposed for texture classification. The conventional local binary pattern can be regarded as a special local quantization method with two levels, 0 and 1. Some variants of the LBP demonstrate that increasing the local quantization level can enhance the local discriminative capability. Hence, we present a s...

For copyright protection of digital image, we present an energy quantization modulation approach for digital image watermarking in this paper. First, we introduce the concept of local energy index of a coefficient block in approximation sub-band of an image. Second, an energy quantization modulation technique is developed to modulate the local energy index of each coefficient block. Moreover, i...

In this paper, we adopt a linear relative formula of a logarithmic function between bitrate and quantization step-size for homogeneous transcoding. Also we propose a novel transcoding method to convert the bitrates between H.264 coded bitstreams. The proposed transcoding method updates the model parameters given for the previous picture or slice by using an approximated relationship between bit...

We describe a quantization procedure based on adapted coherent states. This scheme could reveal itself as an efficient tool for quantizing physical systems for which more traditional methods are uneasy to implement. The procedure is illustrated by simple examples like the wellknown quantization of the particle motion on the line and the yet problematic quantization of the particle motion on the...

The waveform interpolation is one of the speech coding algorithms with high quality at low bit rates. In the WI coding, the vector quantization of SEW requires a variable dimension quantization technique since the dimension of the SEW amplitude spectrum varies depending on the pitch period. However, since the variable dimension vector makes a difficulty to employ conventional vector quantizatio...

In multichannel spatial audio coding (SAC), the accurate representations of virtual sounds and the efficient compressions of spatial parameters are the key to perfect reproduction of spatial sound effects in 3D space. Just noticeable difference (JND) characteristics of human auditory system can be used to efficiently remove spatial perceptual redundancy in the quantization of spatial parameters...

In this paper we study the quantization stage that is implicit in any compressed sensing signal acquisition paradigm. We propose using Sigma-Delta (Σ∆) quantization and a subsequent reconstruction scheme based on convex optimization. We prove that the reconstruction error due to quantization decays polynomially in the number of measurements. Our results apply to arbitrary signals, including com...

In this paper, we propose a new full-fuzzy video ratecontrol algorithm (RCA) for variable bit rate (VBR) videoapplications. The proposed RCA provides high qualitycompressed video with a low degree computational complexity.By controlling the quantization parameter (QP) on a picturebasis, it produces VBR video bit streams. The proposed RCAhas been implemented on the JM H.264/AVC video codec andth...