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This paper presents an automatic system for early fire detection in video. In many applications, it is desired to increase the detection sensitivity and, more importantly, improve the reliability of the detection system through improving... more
Nowadays, face detection plays important roles in many applications, such as: human-computer interaction, security and surveillance, face recognition etc. In this paper, a novel scheme for human face detection in color images under... more
Computer aided digital patching of the fragmented object has the great advantages in efficiency, re-operation and avoiding of inadvertent damage, which is widely used in restoring and repairing of culture heritages. In this paper, we... more
The basic goal of the voice conversion system to mimics the characteristics of the target speaker voice by keeping the linguistic and paralinguistic information intact. The characteristics of a speaker in speech reflect at different level... more
Emotion based speaker Identification System is the process of automatically identifying speaker’s emotion based on features extracted from speech waves. This paper presents experiment with the building and testing of a Speaker’s emotion... more
Many nearest neighbor search algorithms rely on encoding real vectors into binary vectors. The most common strategy projects the vectors onto random directions and takes the sign to produce so-called sketches. This paper discusses the... more
Clustering of text documents is an important technique for documents retrieval. It aims to organize documents into meaningful groups or clusters. Preprocessing text plays a main role in enhancing clustering process of Arabic documents.... more
In this paper, we present an algorithm which combines Vector Quantization (VQ) techniques with variable size Block Matching Algorithms (BMA) for motion compensated image sequence coding. First, an algorithm which decomposes the image... more
This correspondence presents an improved version of an algorithm designed to perform image restoration via nonlinear interpolative vector quantization (NLIVQ). The improvement results from using lapped blocks during the decoding process.... more
A new vector quantisation (VQ) algorithm based on a strategy similar to the cache in traditional computers is proposed and simulated. The method can significantly reduce the redundancy in VQ indices. According to the simulated rcsults,... more
Wide Web (WWW) services over the Internet, the demands for rapid image transmission over a network link of limited bandwidth and economical image storage of a large image database is increasing rapidly. In this paper, a binary tree... more
Image processing refers to the processing of images, which includes many different techniques that are used till we reach our goal. The processing output can either be in the form of an image, or a feature of the given image. This can be... more
We describe, in a semitutorial fashion, a fairly general class of iterative receivers for multiple-antenna systems. These receivers combine a soft decoder for a space-time code with a spatial-interference canceler. The performance of... more
This work is subject to copyright. Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee, provided that the copies are not made or distrib-uted for profit or commercial... more
FPGA implementation of a high-speed DCT architecture which is appropriate for digital image steganography. The architecture contain a digital clock manager (DCM) which is present inside modern field-programmable gate arrays (FPGA) for... more
Spatial pyramid matching (SPM) has been one of important approaches to image categorization. Despite its effectiveness and efficiency, SPM measures the similarity between sub-regions by applying the bag-of-features model, which is limited... more
The highest purpose of this paper is to develop a speech recognition system. This system is used to control smart home usages by spoken words. The spoken words “Fan On”, “Fan Off”, “Light On”, “Light Off”, “TV On” and “TV Off” are chosen... more
Lossy image compression performs a fundamental role in modern communication technology to cope up with the transmission and storage problems. In this paper, we present a new efficient lossy image compression method based on the polynomial... more
This paper presents an encoding method for sequences of images taken from visual telephony scenes, which uses as codebook a set of natural images. The codebook is designed using vector quantization methods based on the Lloyd-Max algorithm... more
This paper presents an encoding method for sequences of images taken from visual telephony scenes, which uses as codebook a set of natural images. The codebook is designed using vector quantization methods based on the Lloyd-Max algorithm... more
This paper presents a practical and resource-efficient implementation of a large language model (LLM)-based system designed for government use, focusing on local deployment under constrained hardware. The system integrates LoRA-based... more
to reduce the computational complexiry by performing them simultaneously with the compression. After briefly reviewing the fundamental ideas of vector quantization, we present a survey of vector quantization algorithms that perform image... more
Many classes of images possess a strong degree of spatial stationarity such that particular features of the image reliably appear in certain regions of the image. This spatial information can be used to improve compression. Unbalanced or... more
We examine how the performance of a memoryless vector quantizer changes as a function of its training set size. Speci cally, we study how well the training set distortion predicts test distortion when the training set is a randomly drawn... more
Several variants of vector quantization (VQ) o er substantially improved image quality at the cost of additional encoding complexity. Algorithms for fast nearest neighbor searches for full search VQ using the Euclidean distortion measure... more
In this research have implemented SVM relevance feedback technique in HSV quantization for CBIR. The proposed technique has two stages. The first stage performs image retrieval process based on results of distance measurement. The... more
Audio and speech compression techniques are used to reduce the storage of these data in the required space and the transmission rate of these data in the communication and network systems. In this paper, the researchers exploit neural... more
We present Gazal-R1, a 32-billion-parameter language model that achieves state-of-the-art performance in medical reasoning while providing transparent, step-by-step explanations for clinical decision-making. Built upon Qwen3 32B, our... more
Vector quantisation (VQ) is a method widely used in low bit-rate coding a n d transmission of speech signals. Unfortunately, a s i n gle bit error in the transmitted index, due tonoise in the transmission channel, could degrade perceived... more
Figure : Graph of mean error power against Hamming distance, for an un-ordered codebook, and codebooks ordered using simulated annealing and quadratic assignment algorithms.
Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to challenges that are not encountered in centralized... more
Federated learning (FL) is an emerging paradigm for training machine learning models using possibly private data available at edge devices. The distributed operation of FL gives rise to challenges that are not encountered in centralized... more
A maximum descent (MD) method has been proposed for vector quantization (VQ) codebook design. Compared with the traditional generalized Lloyd algorithm (GLA), the MD algorithm achieves better codebook performance with far less computation... more
This paper introduces a method for quantization of imagesequences which takes into account the human sensitivities in both space and time. A weighted clustering approach is used for quantization which allows exibility in the choice of... more
Exact and approximate algorithms for detecting lines in a two-dimensional image space are discussed. For the case of uniformly distributed noise within an image space, transform methods and differ- ent notions of probability measures... more
Monografia (graduação)—Universidade de Brasília, Faculdade UnB Gama, Curso de Engenharia Eletrônica, 2014.O objetivo deste trabalho é reduzir o gasto de energia para a decodificação de imagens em receptores de rádio digital. Ao reduzir a... more
Vector quantization codebook algorithms are used for coding of narrow band speech signals. Multi-stage vector quantization and split vector quantization methods are two important techniques used for coding of narrowband speech signals and... more
In this paper, a hybrid approach for vector quantization(VQ) is proposedfor obtaining the better codebook. It is modified and improved based on the centroid neural net- work adaptive resonance theory (CNN-ART) and the en- hanced LBG... more
Existing quantization aware training methods attempt to compensate for the quantization loss by leveraging on training data, like most of the post-training quantization methods, and are also time consuming. Both these methods are not... more
With the increase in demand, product of multimedia is increasing fast and thus contributes to insufficient network bandwidth and memory storage. Therefore image compression is more significant for reducing data redundancy for save more... more
This paper investigates the linear precoder design for K-user interference channels of multiple-input multipleoutput (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate for... more
Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for finding a compressible representation of the input... more
Recent advances in LLMs have propelled us to provide intelligent systems that improve on the scalability and efficiency of core applications. We propose in this work an AI agent framework in Java which leverages LLM-based architectures to... more
The vector quantization (VQ) concept is widely used in many applications. Side-match vector quantization (SMVQ) is a VQ-based image compression method that offers significantly improved performance of compression rate while maintaining... more
The paper reports research on original techniques for compression of chrominance data in video sequences transmitted at very low bit rates. Two chrominance components are converted into one scalar chrominance signal using vector... more
This paper presents a learning scheme for dictionaries of two-dimensional functions for matching pursuit applied in low-bitrate video coding. The motivation is to improve the coding performance of matching pursuit compression by adapting... more
Digital images in their uncompressed form require an enormous amount of storage capacity which in turn needs large transmission bandwidth for the transmission over the network. Image compression reduces the storage space of image and also... more