In this paper, processing of huge number of images is achieved to retrieve a queried image
using MapReduce paradigm with different modes. These systems are useful in cases where …

With the current development of science and technology, big data technology, the Internet of
Things (IoT), cloud computing, and mobile Internet in Malaysia, it is time for smart campuses …

In this paper, we propose novel content-based image retrieval (CBIR) algorithms using
Local Octa Patterns (LOtP), Local Hexadeca Patterns (LHdP) and Direction Encoded Local …

Video surveillance systems have been used in various applications such as traffic
monitoring, detecting military threats and public safety. In this study, we evaluate real-time …

In today's era, digital data is being created and transmitted majorly in the form of images and
videos. Storing such a huge number of images and transmitting them requires a lot of …

Traffic emergencies and resulting delays cause a significant impact on the economy and
society. Traffic flow estimation is one of the early steps in urban planning and managing …

Nowadays the population in the city grow rapidly [1]. It may cause many problems and those
must be tackled with smart city solution because manual policy cannot handle that situation …

This paper presents the implementation on smart system for rapid transit using CCTV
surveillance. Researchers proposed deep learning algorithms to detect objects with …

We conduct research using a 360-degree camera THETA. The ability to capture a wider
range with a single camera is very advantageous for object recognition and classification …

Abstract This Abstract-Paper presents an innovative approach to improve the performance of
vehicle detection and classification in the context of computer vision. This study proposes …