Image Tagging

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This document discusses image tagging, which involves embedding metadata into image files. It describes common metadata formats like IPTC, EXIF, and XMP and how they allow images to be searched and identified by information like keywords, dates, and camera details. It recommends identifying the objectives, users, hosting, and other factors involved in a photo collection to determine what specific metadata is needed.

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Part 3 Editing & Enhancing Week 9 Image Tagging

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Over the past few years I have developed and used technologies that help recover stolen devices ranging from laptops, cell phones, iPods, flash drives and even high end digital cameras. One tool was CameraTrace which is a massive database of camera serial numbers discovered via distributed bots that scan popular photo sharing and social media websites extracting serial numbers and other data from the metadata of images. The tool has led to the recovery of several stolen cameras and is being utilized by law enforcement agencies across the country including the Homeland Security Investigations Cyber Crimes Center (HSI C3) Child Exploitation Investigations Unit who is using it along with several other sophisticated tools to help track down child pornographers and pedophiles many times before they are able to hurt a child.

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With the increasing popularity of social media such as Instagram, Facebook and twitter, fake news with fake pictures which look real has become a huge problem. Digital Photos are more integral to communication than ever before, but the wide availability of easy image editing and manipulation tools at the disposable of anyone with a computer, or a smartphone, it makes them a risky proposition when trust is important. The point of this undertaking is to give a thorough idea of the best in class in the territory of Image forensics investigation. In this era to effectively change the data of a picture without leaving any undeniable which achieves viably and precisely the Image tampering discovery task. This strategy has been intended to recognize to decide if the Image is original or altered, without the knowledge on any data about the picture under examination. The tool work by identifying the certain pattern and metadata and other function giving a better result in forensically extraction. Raj Saundatikar | Dr. Lakshmi J. V. N "Imagically - Image Forensic Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35808.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35808/imagically--image-forensic-tool/raj-saundatikar

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Abstract With the advent of time, the number of images being captured and shared online has grown exponentially. The images which are captured are later accessed for the purpose of searching, classification and retrieval operation. Hence these images must be labelled with appropriate words, phrases or keywords so that the requisite operation can be performed efficiently. Automatic Image Tagging is such a technique which associates an appropriate keyword from a given set of words or phrases based on the relevance to the content of the image. This selection of the appropriate keyword can be performed by Text Mining which is concerned with the extraction of appropriate information from a given text. The main objective of this paper is to depict how Text Mining technique can be implemented in the process of Automatic Image Tagging. In order to annotate an image, techniques like Content Based Image Retrieval cane can be used, which emphasises on the content of the image to annotate an image. However due to several constraints of the above mentioned technique, Automatic Image Tagging technique is used which chooses a tag from a given set of tags to annotate an image. The selection of the appropriate tag can be implemented using the Classification logic of the Text Mining Algorithm that assigns the given set of keywords or tags to some predefined classes. In this way the most relevant tags can be selected assigned to the given image. Keywords: Tagging, Image Annotation, Automatic Image Tagging, Linguistic Indexing, Content Based Image Retrieval, Automatic Annotation.

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IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.

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Image Tagging

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2. Part 3 Editing & Enhancing Week 9 Image Tagging

8. Types of Tagging Formats

10.

11.

12.

13.

14. Discussions & Notes for - Mid-term exam results - Uploading and sharing photos using Flick r and Photo repository.

Image Tagging

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