Data are an important part of machine learning. In recent years, it has become increasingly common for researchers to study artificial intelligence-aided design, and rich design materials needed provide data support related work. Existing aesthetic visual analysis databases contain mainly photographs works art. There is no true logo database, there few public high-quality material databases. Fa...

You can download our logo below with versions for printing at the bottom of the page (right click and choose "save target") Guidelines for using the logo >> [1]

The performance of different feature extraction and shape description methods in trademark image recognition systems have been studied by several researchers. However, the potential improvement in classification through feature fusion by ensemble-based methods has remained unattended. In this work, we evaluate the performance of an ensemble of three classifiers, each trained on different featur...

In recent years, vehicle recognition has become an important application in intelligent traffic monitoring and management. Vehicle analysis is an essential component in many intelligent applications, such as automatic toll collection, driver assistance systems, self-guided vehicles, intelligent parking systems, and traffic statistics (vehicle count, speed, and flow). The main goal of our study ...

In this paper, we describe new and improved attacks on the authentication scheme previously proposed by Yeung and Mintzer [1]. Previous attacks assumed that the binary watermark logo inserted in an image for the purposes of authentication was known. Here we remove that assumption and show how the scheme is still vulnerable, even if the binary logo is not known but the attacker has access to mul...

Existing logo detection methods usually consider a small number of logo classes and limited images per class with a strong assumption of requiring tedious object bounding box annotations, therefore not scalable to real-world dynamic applications. In this work, we tackle these challenges by exploring the webly data learning principle without the need for exhaustive manual labelling. Specifically...

A novel fragile watermarking technique is proposed for hiding logo information into an image by tuning block pixels based on a bitmap parity checking approach. A secure key and a random number generator are used to hide the logo information in a secret, undetectable, and unambiguous way. The characteristics of the mean gray value and the bitmap in a block are exploited for performing the embedd...

This research aims to develop a sensor system which will be able to recognize city area environments from a moving vehicle. A city area which is a rather cluttered outdoor man-made environment requires different recognition methods from indoor or highway environments. Toward this goal, we employed an omni-directional camera and vehicle odometry. Also, for better recognition in the total sensing...

Sport video is an important video genre. Content-based sports video analysis attracts great interest from both industry and academic fields. A sports video is characterised by repetitive temporal structures, relatively plain contents, and strong spatio-temporal variations, such as quick camera switches and swift local motions. It is necessary to develop specific techniques for content-based spo...

Vehicle Color Recognition System is the implementation of automatic detection of predominant color of vehicles from the traffic images captured through CCTV cameras installed at crossings. This document presents a new effective method for extracting color of vehicle using MATLAB, Firstly vehicle is cropped automatically from the traffic image and then color of individual vehicle is picked accor...