With the recent evolution of technology, number image archives has increased exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is represented in form low-level features. The semantic gap between features and concepts an open research problem. this paper, we present a novel words integration Scale Invariant Feature Transform (SIFT) Speeded-Up Robust Features (SURF). two local representations are selected for retrieval because SIFT more robust to change...

In last few decades. Content Based Image Retrieval System (CBIR) is an emerging field to retrieve relevant images from a database. It utilizes the visual contents of image for local and global features. Local feature includes spatial domain which presents significance as well index image. Global shape descriptors, contour representations texture Segmentation process required in extraction technique. challenging task simulate information CBIR system. strategy combines features deal with low...

Image classification has gained lot of attention due to its application in different computer vision tasks such as remote sensing, scene analysis, surveillance, object detection, and image retrieval. The primary goal is assign the class labels images according contents. applications analysis sensing are important they used various applied domains military civil fields. Earlier approaches for based on low-level feature representations color- texture-based features. Vector Locally Aggregated...

Automated recognition of handwritten characters and digits is a challenging task. Although significant amount literature exists for automatic English other major languages in the world, there wide research gap due to lack Urdu language. The variations writing style, shape size individual similarities with add complexity accurate classification characters. Deep neural networks have emerged as powerful technology automated character patters object images. deep are known provide remarkable...

Content-based image retrieval (CBIR) provides a sustainable solution to retrieve similar images from an archive. In the last few years, Bag-of-Visual-Words (BoVW) model gained attention and significantly improved performance of retrieval. standard BoVW model, is represented as orderless global histogram visual words by ignoring spatial layout. The layout carries significant information that can enhance CBIR. this paper, we are presenting novel representation based on combination local...

The recent development in the technology has increased complexity of image contents and demand for classification becomes more imperative. Digital images play a vital role many applied domains such as remote sensing, scene analysis, medical care, textile industry crime investigation. Feature extraction representation is considered an important step analysis it affects performance. Automatic open research problem pattern recognition applications. Bag-of-Features (BoF) model commonly used to...

Recently, face datasets containing celebrities photos with facial makeup are growing at exponential rates, making their recognition very challenging. Existing methods rely on feature extraction and reference reranking to improve the performance. However images carry inherent ambiguity due artificial colors, shading, contouring, varying skin tones, task more difficult. The problem becomes confound as alters bilateral size symmetry of certain components such eyes lips affecting distinctiveness...

Agile software development has large success rate due to its benefits and promising nature but natively where the size of project is small. Requirement engineering (RE) crucial as in each life cycle, “Requirements” play a vital role. Though agile provides values customer’s business needs, changing requirement, interaction, we also have face impediments agile, many which are related requirement challenges. This article aims find out challenges being faced during projects. Many research...

The Bag-of-Visual-Words (BoVW) model is widely used for image classification, object recognition and retrieval problems. In BoVW model, the local features are quantized 2-D space represented in form of order-less histogram visual words. classification performance suffers due to representation image. This paper presents a novel that incorporates spatial information inverted index model. added by calculating global relative orientation words rotation invariant manner. For this, we computed...

Respiratory viruses known as coronaviruses infect people and cause death. The multiple crown-like spikes on the virus’s surface give them name “corona”. pandemic has resulted in a global health crisis it is expected that every year we will have to fight against different COVID-19 variants. In this critical situation, existence of vaccinations provides hope for mankind. Despite severe vaccination campaigns recommendations from experts government, perceptions regarding risks share their views...

The amount of multimedia content is growing exponentially and a major portion uses images video. Researchers in the computer vision community are exploring possible directions to enhance system accuracy reliability, these main requirements for robot vision-based systems. Due change facial expressions wearing masks or sunglasses, many face recognition systems fail recognizing decreases scenarios. In this work, we contribute real time surveillance framework using Raspberry Pi CNN...

Face recognition aims to establish the identity of a person based on facial characteristics and is challenging problem due complex nature manifold. A wide range face applications are classification techniques class label assigned test image that belongs unknown class. In this paper, pose invariant deeply learned multiview 3D approach proposed address two problems: alignment through identification verification setups. The algorithm capable handling frontal as well profile images. It employs...

Aging affects left and right half face differently owing to numerous factors such as sleeping habits, exposure sun light, weaker muscles of one side face. In computer vision, age a given image is estimated using features that are correlated with age, moles, scars, wrinkles. this study we report the asymmetric aging sides images its impact on accurate estimation. Left symmetric faces were perceived younger while older when presented state‐of‐the‐art estimator. These findings show facial an...

IoV is the latest application of VANET and alliance Internet IoT. With rapid progress in technology, people are searching for a traffic environment where they would have maximum collaboration with their surroundings which comprise other vehicles. It has become necessity to find such we less congestion, minimum chances vehicular collision, communication delay, fewer errors, greater message delivery ratio. For this purpose, ad hoc network (VANET) was devised vehicles were communicating each an...

As digital images play a vital role in multimedia content, the automatic classification of is an open research problem. The Bag Visual Words (BoVW) model used for image classification, retrieval and object recognition problems. In BoVW model, histogram visual words computed without considering spatial layout 2-D space. performance suffers due to lack information about details image. Spatial Pyramid Matching (SPM) popular technique that computes However, SPM not rotation-invariant does allow...

Remote sensing image classification has great advantages in the areas of environmental monitoring, urban planning, disaster management and many others. Unmanned Aerial Vehicles (UAVs) have revolutionized remote by providing high-resolution imagery. In this context, effective is crucial for extracting meaningful information from UAV-captured images. This study presents a comparison different deep learning-based approach supervised UAV We experimented on four CNN models like VGG 16, Alex net,...

Abstract A spline is a piecewise defined special function that usually comprised of polynomials certain degree. These are supposed to generate smooth curve by connecting at given data points. In this work, an application fifth degree basis functions presented for numerical investigation the Kuramoto–Sivashinsky equation. The finite forward difference formula used temporal integration, whereas splines, together with new approximation fourth order spatial derivative, brought into play...