scholarly journals Active video-based surveillance system: the low-level image and video processing techniques needed for implementation

2005 ◽  
Vol 22 (2) ◽  
pp. 25-37 ◽  
Author(s):  
G.L. Foresti ◽  
C. Micheloni ◽  
L. Snidaro ◽  
P. Remagnino ◽  
T. Ellis
Keyword(s):  
Video Processing ◽  
Surveillance System ◽  
Low Level ◽  
Image And Video Processing ◽  
Active Video ◽  
Processing Techniques

scholarly journals Multimedia Image Processing Lab Experiment/Simulation

2020 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Md Mamunur Rashid
Keyword(s):  
Image Processing ◽  
Video Compression ◽  
Video Processing ◽  
Multimedia Systems ◽  
Multimedia System ◽  
Image And Video Processing ◽  
Indexing And Retrieval ◽  
Video Indexing And Retrieval ◽  
Multimedia Image ◽  
Processing Techniques

Image Processing in Multimedia Applications treats a number of critical topics in multimedia systems, with respect to image and video processing techniques and their implementations. These techniques include the Image and video compression techniques and standards, and Image and video indexing and retrieval techniques. Image Processing is an important tool to develop a Multimedia system design.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

scholarly journals Image and video processing on mobile devices: a survey

2021 ◽  
Author(s):  
Chamin Morikawa ◽  
Michihiro Kobayashi ◽  
Masaki Satoh ◽  
Yasuhiro Kuroda ◽  
Teppei Inomata ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Video Processing ◽  
Image And Video Processing

A Novel HBE-MCM-Based Multiplier Architecture for 8-Point DCT Structure

2016 ◽  
Vol 26 (04) ◽  
pp. 1750054
Author(s):  
M. Kiruba ◽  
V. Sumathy
Keyword(s):  
Video Processing ◽  
Power Dissipation ◽  
Field Programmable Gate Array ◽  
Video Codec ◽  
Floating Point ◽  
Data Path ◽  
Image And Video Processing ◽  
Field Programmable ◽  
Minimum Number ◽  
Code Language

The Discrete Cosine Transform (DCT) structure plays a significant role in the signal processing applications such as image and video processing applications. In the traditional hardware design, the 8-point DCT architecture contains more number of logical slices in it. Also, it consists of number of multipliers to update the weight. This leads to huge area consumption and power dissipation in that architecture. To mitigate the conventional drawbacks, this paper presents a novel Hierarchical-based Expression (HBE)-Multiple Constant Multiplication (MCM)-based multiplier architecture design for the 8-point DCT structure used in the video CODEC applications. The proposed work involves modified data path architecture and Floating Point Processing Element (FPPE) architecture. Our proposed design of the multipliers and DCT architecture requires minimum number of components when compared to the traditional DCT method. The HBE-MCM-based multiplier architecture includes shifters and adders. The number of Flip-Flops (FFs) and Look Up Tables (LUTs) used in the proposed architecture is reduced. The power consumption is reduced due to the reduction in the size of the components. This design is synthesized in VERILOG code language and implemented in the Field Programmable Gate Array (FPGA). The performance of the proposed architecture is evaluated by comparing it with traditional DCT architecture in terms of the Number of FFs, Number of LUTs, area, power, delay and speed.

Image and Video Processing

2020 ◽  
pp. 147-161
Author(s):  
Ashwin Pajankar ◽  
Sharvani Chandu
Keyword(s):  
Video Processing ◽  
Image And Video Processing

Unmanned Aerial Vehicle–Based Traffic Analysis: Methodological Framework for Automated Multivehicle Trajectory Extraction

2017 ◽  
Vol 2626 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Muhammad Arsalan Khan ◽  
Wim Ectors ◽  
Tom Bellemans ◽  
Davy Janssens ◽  
Geert Wets
Keyword(s):  
Traffic Safety ◽  
Video Processing ◽  
Traffic Monitoring ◽  
Future Research ◽  
Methodological Framework ◽  
Vehicle Detection And Tracking ◽  
Potential Applications ◽  
Multiple Vehicles ◽  
Processing Techniques ◽  
Optimal Data Analysis

Unmanned aerial vehicles (UAVs), commonly referred to as drones, are one of the most dynamic and multidimensional emerging technologies of the modern era. This technology has recently found multiple potential applications within the transportation field, ranging from traffic surveillance applications to traffic network analysis. To conduct a UAV-based traffic study, extremely diligent planning and execution are required followed by an optimal data analysis and interpretation procedure. In this study, however, the main focus was on the processing and analysis of UAV-acquired traffic footage. A detailed methodological framework for automated UAV video processing is proposed to extract the trajectories of multiple vehicles at a particular road segment. Such trajectories can be used either to extract various traffic parameters or to analyze traffic safety situations. The proposed framework, which provides comprehensive guidelines for an efficient processing and analysis of a UAV-based traffic study, comprises five components: preprocessing, stabilization, georegistration, vehicle detection and tracking, and trajectory management. Until recently, most traffic-focused UAV studies have employed either manual or semiautomatic processing techniques. In contrast, this paper presents an in-depth description of the proposed automated framework followed by a description of a field experiment conducted in the city of Sint-Truiden, Belgium. Future research will mainly focus on the extension of the applications of the proposed framework in the context of UAV-based traffic monitoring and analysis.

DSPs for image and video processing

2000 ◽  
Vol 80 (11) ◽  
pp. 2323-2336 ◽  
Author(s):  
Klaus Illgner
Keyword(s):  
Video Processing ◽  
Image And Video Processing

Creation of codes based on wavelet transformation and its application in ADV612 chips

2017 ◽  
Vol 15 (02) ◽  
pp. 1750014 ◽  
Author(s):  
Alla Levina ◽  
Sergey Taranov
Keyword(s):  
Wavelet Transform ◽  
Video Processing ◽  
Wavelet Decomposition ◽  
Filter Bank ◽  
Mathematical Concepts ◽  
Coding Scheme ◽  
Image And Video Processing ◽  
Error Coding ◽  
New Construction ◽  
Robust Codes

Theory of wavelet transform is a powerful tool for image and video processing. Mathematical concepts of wavelet transform and filter bank have been studied carefully in many works. This work presents application of new construction of linear and robust codes based on wavelet decomposition and its application in ADV612 chips. We present the model of the error-coding scheme that allows to detect errors in the ADV612 chips with high probability. In our work, we will show that developed and presented scheme of protection drastically improves the resistance of ADV612 chips to malfunctions and errors.

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