A heat transfer is an approach of taking a printed image & then going ahead to fix the image directly to the garment. It is done to copy the image on the garment itself. This proven technology is used extensively for customizing t-shirts and in recent times it is used widely for the application of t

0 views • 3 slides

AGImageAI, developed by AlpineGate, is a cutting-edge image recognition software leveraging AI techniques to analyze various industries. AlpineGate, based in San Francisco, specializes in innovative solutions for image interpretation. Albert, the AI assistant, provides helpful information to users,

22 views • 21 slides

The VNA & PACS Market is projected to reach $6.50 billion by 2031, at a CAGR of 7.2% from 2024 to 2031. Vendor Neutral Archive (VNA) & Picture Archiving and Communication System (PACS) are medical image management solutions used for aiding diagnosis, comparing images between patients or within the s

1 views • 4 slides

Learn how to incorporate Universal Design for Learning (UDL) principles with social annotation using Hypothesis Workshop. Discover the benefits of social annotation, ways to align it with UDL, practical assignment examples, and engage in interactive sessions. Join the workshop to enhance student eng

0 views • 38 slides

Explore the story of Tara, a 13-year-old girl whose experience with social media shapes her self-image and self-esteem. Delve into how social media can influence our perceptions of ourselves and others, affecting mental well-being and relationships. Understand the role of digital citizenship in navi

10 views • 11 slides

Explanation of how computers store bitmap images using pixels and binary representation. Practice exercises to draw pixel images on grids, demonstrating the impact on image quality when using different grid sizes. Learn about pixelation and improving image quality by using more detailed grids.

1 views • 13 slides

Image histograms provide valuable insights into the nature of images, with characteristics like width, skewness, and peaks revealing information about contrast, brightness, and objects within. Different types of histograms indicate varying image attributes, aiding in tasks like threshold parameter s

1 views • 13 slides

Introduction to the fields of computer vision and image processing, exploring their differences and how they intertwine. Computer vision focuses on processing images for computer use, while image processing enhances images for human consumption. Topics include image analysis, restoration, enhancemen

1 views • 100 slides

Body image dissatisfaction pertains to how individuals view themselves, influenced by societal norms and media representations. It affects both biological males and females, with culture shaping our perception of the ideal body image. Social media, fashion, entertainment, and advertising play signif

3 views • 13 slides

The media plays a significant role in shaping perceptions of body image, influencing how individuals view themselves and others. This article explores the impact of media portrayal on body image perceptions in both men and women, discussing the positive and negative influences of media representatio

3 views • 9 slides

Understanding the process of image acquisition is crucial for digital image processing in GIS. It involves using physical devices sensitive to different energy bands to convert images into digital form through digitizers. Various methods such as single sensors, sensor strips, and sensor arrays are u

2 views • 16 slides

When a beam of photons exposes an X-ray film, it chemically alters the silver halide crystals, creating a latent image. Film processing involves developer, fixer, and a series of steps to convert the latent image into a visible radiographic image. The developer reduces silver ions in exposed crystal

0 views • 26 slides

Exploring the fundamental concepts of pixel relationships in image processing, including 4-neighbors, 8-neighbors, adjacency criteria, and their significance in digital image analysis. The content covers the basics of pixel connectivity and neighbor sets, offering insights into how pixels interact a

1 views • 67 slides

The Deep Screen Image Crop and Enhance project, led by Aaron Ott and Amir Mazaheri, focuses on improving image quality through a multi-step approach involving image detection, cropping, and enhancement. The project utilizes advanced techniques like super-resolution networks and deep residual network

0 views • 10 slides

Delve into the world of HTML image tags and attributes with this detailed overview. Learn how to display images, make them clickable links, adjust image sizes, and utilize various attributes for styling and alignment. Discover the differences between image formats such as GIF and JPEG, and master th

1 views • 32 slides

This chapter delves into the management of corporate image and brands, covering topics such as developing brand names and logos, the importance of packaging, brand positioning strategies, and the components of corporate image. It explores perspectives from both consumers and companies, highlights th

0 views • 32 slides

This presentation delves into the utilization of AI for malaria detection, showcasing the background that led to the creation of TG-Malaria. Highlighting the current burden of malaria in Uganda and other developing nations, it addresses challenges in microscopy diagnosis due to a lack of trained tec

0 views • 20 slides

Explore themes surrounding body image and food culture at camp, understanding how these impact campers and staff. Learn to make positive shifts in camp culture, addressing disordered eating and emotional eating. Discover the intersection of food and body image, challenges faced, promoting body posit

0 views • 15 slides

Investigating how professional athletes utilize personal accounts as an image repair strategy after facing violations. The study delves into trends, variables affecting strategies, and the importance of public image for athletes. Key theoretical foundations include Image Restoration Theory and Accou

0 views • 33 slides

This research delves into multimodal semantic indexing methods for image retrieval, focusing on extending Latent Semantic Indexing (LSI) and probabilistic LSI to a multi-modal setting. Contributions include the refinement of graph models and partitioning algorithms to enhance image retrieval from tr

1 views • 28 slides

Delve into the realm of bacterial comparative genomics with insights on terminologies, assembly methods, annotation processes, and two key approaches to microbial genomics. Explore the basics of genomics terminology, assembly-based and variant-based analyses, as well as annotation methods for protei

0 views • 41 slides

This course on digital image processing covers fundamental concepts, tools, and algorithms used in analyzing and enhancing images. Students will gain knowledge on spatial and frequency domain analysis, algorithm implementation, image reconstruction, and more. The main objective is to provide a stron

0 views • 15 slides

Presentations at CLARIN 2020 Session focused on annotation and visualization tools, including a neural syntax annotator for Dutch and German, exploring and visualizing Wordnet data with GermaNet Rover, named entity recognition for distant reading in ELTeC, and the semi-automatic analysis of spontane

0 views • 10 slides

Explore the integration of CMDI for metadata editing in resources, including open/closed vocabularies, Arbil interface for vocabulary management, ELAN for resource annotation, and KinOath for kinship data. Discover how CMDI improves data annotation and vocabularies management in linguistic research.

0 views • 10 slides

ELAN, a tool developed over 15 years at the Max-Planck-Institute for Psycholinguistics, is utilized in various research contexts like language documentation, acquisition studies, gesture studies, and sign language studies. The workshop covers the introduction to ELAN, basic and advanced features, an

0 views • 14 slides

Dive into the world of K-means clustering for pixel-wise image segmentation in the RGB color space. Learn the steps involved, from making copies of the original image to initializing cluster centers and finding the closest cluster for each pixel based on color distances. Explore different seeding me

0 views • 21 slides

This workshop delves into the analysis of argumentative discourse units in online interactions, emphasizing the segmentation, classification, and relation identification processes. It discusses challenges in annotation and proposes a two-tiered annotation scheme involving expert annotators and novic

0 views • 59 slides

Functional Annotation of Animal Genomes (FAANG) is crucial for associating sequence variation with quantitative phenotypes in domestic animals, serving as important models for human health, disease, and ecology. The NIH actively participates in various genome projects involving cattle, horses, and c

0 views • 10 slides

This research explores the interconnectedness of country image, destination image, and Olympic Games image to identify beneficiaries and benefactors in these complex relationships. It aims to understand how these images influence each other and future visit intentions. The study utilizes a conceptua

0 views • 10 slides

Utilizing contextual GAN, this project aims to automatically generate photographic images from hand-sketched objects. It addresses the challenge of aligning output with free-hand sketches while offering advantages like a unified network for sketch-image understanding. The process involves posing ima

0 views • 21 slides

A cognitive study on extracting subjectivity in sentiment annotation, exploring if humans perform subjective extraction similarly to machines for sentiment analysis. The study investigates sentiment oscillations and different methods adopted based on the nature of subjective documents.

0 views • 14 slides

Revolutionize image compression with HTJ2K Transfer Syntax, a groundbreaking technology that addresses existing challenges in compression standards like JPEG 2000. HTJ2K offers improved decode and encode speeds, strong open-source support, and scalable resolution access. Explore how HTJ2K is reshapi

0 views • 6 slides

Exploring the portrayal of sexual intercourse in Ghanaian films against cultural values, this study introduces a multimodal annotation scheme for analysis. Addressing concerns raised by the public, it delves into the complexities of conveying sex in a culture that tends to discourage open discussion

0 views • 12 slides

The Open Source Software initiative progress update provides insights into the work accomplished during e-meetings, focusing on the development of a modular annotation tool shared by a focus group. The group's activities, such as drafting requirements, analyzing survey results, and setting up collab

0 views • 9 slides

Obesity is a prevalent issue with individuals seeking ways to change their health behaviors. The article explores a dialogue annotation scheme using the Trans-Theoretical Model of Health Behavior Change. It delves into stages like precontemplation, contemplation, preparation, action, and maintenance

0 views • 11 slides

Addressing the challenge of acquiring labelled data for NLP models, weak supervision techniques offer solutions through alternative annotation methods and leveraging diverse data sources. This talk highlights the importance of overcoming the scarcity of labelled data in machine learning and NLP task

0 views • 18 slides

This presentation delves into the intricacies of Neural Image Captioning, focusing on a model known as Neural Image Caption (NIC). The NIC's primary goal is to automatically generate descriptive English sentences for images. Leveraging the Encoder-Decoder structure, the NIC uses a deep CNN as the en

0 views • 13 slides

Compilation and annotation of a discourse-structured blog corpus for German, involving data collection, annotation, addressing specific problems, and planning next steps. The project focuses on fostering interoperability, meeting requirements, and developing models for annotating blogs' structural a

1 views • 39 slides

This content provides insights into the essential aspects of digital image processing, focusing on elements of visual perception, the structure of the eye, image formation, brightness adaptation, and discrimination. Explore how the human visual system, akin to a camera, processes visual information

1 views • 8 slides

Video transcription services are integral to accurate AI annotation and training. They convert video content into structured, annotated datasets, enhancing model accuracy, scalability, and efficiency. Discover their applications and benefits for AI d

0 views • 4 slides