[PDF] Reverse Image Search - eBooks Review

Reverse Image Search


Reverse Image Search
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How To Google Image Search


How To Google Image Search
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Author : Melinda Andrew
language : en
Publisher:
Release Date : 2018-11-30

How To Google Image Search written by Melinda Andrew and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with categories.


The Internet has become a substantial part of our lives today. Many people spend so much time online either looking for information, socializing or looking for business deals these days. As it is with real life that when people gather some always look for an opportunity to defraud people so, it is with the internet too. There are many people online that want to cheat people by collecting their hard earned money. These people are increasing in number, and you need to learn how you can find them out amongst the crowd. Many of these people defraud others by using pictures that are not theirs, or they might sometimes use a personal photo. This book will show you how to find more information about the photo of any person you meet online, therefore, escaping being defrauded by such individual. These are some of the things you will learn from this book. 1. Knowing how to search the web like a pro2. Learning how to do Google image search.3. Finding more information about any picture you see online. 4. Doing online search on a picture without downloading the picture. This book will save you from the scavengers that are out there looking for every opportunity to feast on your hard earned money. Go ahead and buy the book now.



Reverse Image Search


Reverse Image Search
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-05

Reverse Image Search written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-05 with Computers categories.


What is Reverse Image Search Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful. In particular, reverse image search is characterized by a lack of search terms. This effectively removes the need for a user to guess at keywords or terms that may or may not return a correct result. Reverse image search also allows users to discover content that is related to a specific sample image or the popularity of an image, and to discover manipulated versions and derivative works. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Reverse image search Chapter 2: Web crawler Chapter 3: Image retrieval Chapter 4: Recommender system Chapter 5: Document retrieval Chapter 6: Content-based image retrieval Chapter 7: Automatic image annotation Chapter 8: Inverted index Chapter 9: Google Images Chapter 10: Social search (II) Answering the public top questions about reverse image search. (III) Real world examples for the usage of reverse image search in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Reverse Image Search.



Practical Deep Learning For Cloud Mobile And Edge


Practical Deep Learning For Cloud Mobile And Edge
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Author : Anirudh Koul
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-10-14

Practical Deep Learning For Cloud Mobile And Edge written by Anirudh Koul and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.


Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users



Image Retrieval


Image Retrieval
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-05

Image Retrieval written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-05 with Computers categories.


What is Image Retrieval An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Image retrieval Chapter 2: Information retrieval Chapter 3: Content-based image retrieval Chapter 4: Automatic image annotation Chapter 5: Google Images Chapter 6: Image meta-search Chapter 7: Visual search engine Chapter 8: Reverse image search Chapter 9: TinEye Chapter 10: Image collection exploration (II) Answering the public top questions about image retrieval. (III) Real world examples for the usage of image retrieval in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Retrieval.



Content Based Image Retrieval


Content Based Image Retrieval
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-09

Content Based Image Retrieval written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-09 with Computers categories.


What is Content Based Image Retrieval Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the problem of image retrieval, which is the difficulty of searching for digital images in big databases. Other names for this technique include content-based visual information retriev. In contrast to the conventional concept-based methods, content-based picture retrieval is a more recent development. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Content-based image retrieval Chapter 2: Information retrieval Chapter 3: Image retrieval Chapter 4: Automatic image annotation Chapter 5: Tag cloud Chapter 6: Video search engine Chapter 7: Image organizer Chapter 8: Image meta search Chapter 9: Reverse image search Chapter 10: Visual search engine (II) Answering the public top questions about content based image retrieval. (III) Real world examples for the usage of content based image retrieval in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Content Based Image Retrieval.



Digital Witness


Digital Witness
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Author : Sam Dubberley
language : en
Publisher: Oxford University Press, USA
Release Date : 2020

Digital Witness written by Sam Dubberley and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Law categories.


This book covers the developing field of open source research and discusses how to use social media, satellite imagery, big data analytics, and user-generated content to strengthen human rights research and investigations. The topics are presented in an accessible format through extensive use of images and data visualization (éditeur).



Fake Photos


Fake Photos
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Author : Hany Farid
language : en
Publisher: MIT Press
Release Date : 2019-09-10

Fake Photos written by Hany Farid and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.


A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Stalin, Mao, Hitler, Mussolini, and other dictators routinely doctored photographs so that the images aligned with their messages. They erased people who were there, added people who were not, and manipulated backgrounds. They knew if they changed the visual record, they could change history. Once, altering images required hours in the darkroom; today, it can be done with a keyboard and mouse. Because photographs are so easily faked, fake photos are everywhere—supermarket tabloids, fashion magazines, political ads, and social media. How can we tell if an image is real or false? In this volume in the MIT Press Essential Knowledge series, Hany Farid offers a concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Farid, an expert in photo forensics, has spent two decades developing techniques for authenticating digital images. These techniques model the entire image-creation process in order to find the digital disruption introduced by manipulation of the image. Each section of the book describes a different technique for analyzing an image, beginning with those requiring minimal technical expertise and advancing to those at intermediate and higher levels. There are techniques for, among other things, reverse image searches, metadata analysis, finding image imperfections introduced by JPEG compression, image cloning, tracing pixel patterns, and detecting images that are computer generated. In each section, Farid describes the techniques, explains when they should be applied, and offers examples of image analysis.



Cyber Crime Security And Digital Intelligence


Cyber Crime Security And Digital Intelligence
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Author : Mark Johnson
language : en
Publisher: Routledge
Release Date : 2016-05-13

Cyber Crime Security And Digital Intelligence written by Mark Johnson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-13 with Law categories.


Today's digital economy is uniquely dependent on the Internet, yet few users or decision makers have more than a rudimentary understanding of the myriad of online risks that threaten us. Cyber crime is one of the main threats to the integrity and availability of data and systems. From insiders to complex external attacks and industrial worms, modern business faces unprecedented challenges; and while cyber security and digital intelligence are the necessary responses to this challenge, they are understood by only a tiny minority. In his second book on high-tech risks, Mark Johnson goes far beyond enumerating past cases and summarising legal or regulatory requirements. He describes in plain, non-technical language how cyber crime has evolved and the nature of the very latest threats. He confronts issues that are not addressed by codified rules and practice guidelines, supporting this with over 30 valuable illustrations and tables. Written for the non-technical layman and the high tech risk manager alike, the book also explores countermeasures, penetration testing, best practice principles, cyber conflict and future challenges. A discussion of Web 2.0 risks delves into the very real questions facing policy makers, along with the pros and cons of open source data. In a chapter on Digital Intelligence readers are provided with an exhaustive guide to practical, effective and ethical online investigations. Cyber Crime, Security and Digital Intelligence is an important work of great relevance in today's interconnected world and one that nobody with an interest in either risk or technology should be without.



Advances In Network Based Information Systems


Advances In Network Based Information Systems
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Author : Leonard Barolli
language : en
Publisher: Springer
Release Date : 2018-08-27

Advances In Network Based Information Systems written by Leonard Barolli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-27 with Technology & Engineering categories.


This book presents the latest research findings and innovative theoretical and practical research methods and development techniques related to the emerging areas of information networking and their applications. Today’s networks and information systems are evolving rapidly, and there are several new trends and applications, such as wireless sensor networks, ad hoc networks, peer-to-peer systems, vehicular networks, opportunistic networks, grid and cloud computing, pervasive and ubiquitous computing, multimedia systems, security, multi-agent systems, high-speed networks, and web-based systems. These networks have to deal with the increasing number of users, provide support for different services, guarantee the QoS, and optimize the network resources, and as such there are numerous research issues and challenges that need to be considered and addressed.



Mastering Osint


Mastering Osint
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-05

Mastering Osint written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Computers categories.


In an age defined by information abundance, the practice of Open Source Intelligence (OSINT) has emerged as a potent tool for uncovering insights hidden in plain sight. "Mastering OSINT" is an illuminating guide that equips readers with the skills and strategies needed to navigate the vast realm of open source information, enabling them to become adept OSINT practitioners capable of extracting valuable knowledge from the digital landscape. About the Book: Authored by leading experts in the field of OSINT, "Mastering OSINT" offers an in-depth exploration of the techniques, tools, and methodologies used to harness open source information effectively. Through a combination of real-world examples, case studies, and practical exercises, this book provides readers with the knowledge required to excel in the dynamic field of OSINT. Key Features: OSINT Fundamentals: The book begins by unraveling the foundational concepts of OSINT, guiding readers through the principles and ethics that underpin this powerful practice. Search Techniques: Readers will delve into advanced search techniques and strategies that optimize the collection of open source information from a variety of online sources. Social Media Analysis: With social media becoming a treasure trove of insights, the book explores methods for extracting actionable intelligence from platforms like Twitter, Facebook, LinkedIn, and more. Web Scraping and Automation: The book covers the art of web scraping and automation, empowering readers to gather, process, and analyze data at scale to uncover valuable insights. Digital Footprint Analysis: Through digital footprint analysis, readers will learn to piece together fragments of online presence to construct a comprehensive profile of individuals and organizations. Dark Web Exploration: In a world where hidden corners of the internet exist, the book sheds light on navigating the dark web to gather intelligence while maintaining security and anonymity. Investigative Techniques: From geolocation analysis to image forensics, the book equips readers with a toolkit of investigative techniques that enhance the quality and accuracy of OSINT findings. Case Studies and Practical Scenarios: Featuring real-world case studies and practical scenarios, readers gain firsthand insights into how OSINT techniques are applied to solve complex problems and uncover critical information. Who Should Read This Book: "Mastering OSINT" is a must-read for intelligence analysts, cybersecurity professionals, law enforcement personnel, journalists, researchers, and anyone seeking to harness the power of open source intelligence to gain a competitive edge or enhance security. Whether you're a novice curious about OSINT or a seasoned professional looking to refine your skills, this book serves as an essential guide to mastering the art of extracting insights from open sources. About the Authors: The authors of "Mastering OSINT" are esteemed practitioners and researchers in the field of open source intelligence. With a deep understanding of the nuances and challenges of OSINT, they share their wealth of knowledge, experience, and insights to empower readers to excel in the realm of open source intelligence.