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The Perceived Credibility of Professional Photojournalism Compared to User-Generated Content Among American News Media Audiences
Syracuse University SURFACE Dissertations - ALL SURFACE August 2020 THE PERCEIVED CREDIBILITY OF PROFESSIONAL PHOTOJOURNALISM COMPARED TO USER-GENERATED CONTENT AMONG AMERICAN NEWS MEDIA AUDIENCES Gina Gayle Syracuse University Follow this and additional works at: https://surface.syr.edu/etd Part of the Social and Behavioral Sciences Commons Recommended Citation Gayle, Gina, "THE PERCEIVED CREDIBILITY OF PROFESSIONAL PHOTOJOURNALISM COMPARED TO USER-GENERATED CONTENT AMONG AMERICAN NEWS MEDIA AUDIENCES" (2020). Dissertations - ALL. 1212. https://surface.syr.edu/etd/1212 This Dissertation is brought to you for free and open access by the SURFACE at SURFACE. It has been accepted for inclusion in Dissertations - ALL by an authorized administrator of SURFACE. For more information, please contact [email protected]. ABSTRACT This study examines the perceived credibility of professional photojournalism in context to the usage of User-Generated Content (UGC) when compared across digital news and social media platforms, by individual news consumers in the United States employing a Q methodology experiment. The literature review studies source credibility as the theoretical framework through which to begin; however, using an inductive design, the data may indicate additional patterns and themes. Credibility as a news concept has been studied in terms of print media, broadcast and cable television, social media, and inline news, both individually and between genres. Very few studies involve audience perceptions of credibility, and even fewer are concerned with visual images. Using online Q methodology software, this experiment was given to 100 random participants who sorted a total of 40 images labeled with photographer and platform information. The data revealed that audiences do discern the source of the image, in both the platform and the photographer, but also take into consideration the category of news image in their perception of the credibility of an image. -
USER MANUAL AKASO Brave 6 Plus Action Camera
USER MANUAL AKASO Brave 6 Plus Action Camera V1.2 CONTENTS What's in the Box 1 Your Brave 6 Plus 2 Getting Started 4 Overview of Modes 5 Customizing Your Brave 6 Plus 8 Playing Back Your Content 15 Deleting Your Content 15 Connecting to the AKASO GO app 15 Offloading Your Content 16 Maintaining Your Camera 16 Maximizing Battery Life 17 Battery Storage and Handling 17 External Microphone 18 Remote 18 Mounting Your Camera 20 Contact Us 22 WHAT'S IN THE BOX Waterproof Handle Bar/ Brave 6 Plus Housing Pole Mount Mount 1 Mount 2 Mount 3 Mount 4 Mount 5 Mount 6 Mount 7 Mount 8 Charger 1 Helmet Mounts Battery Protective Backdoor Clip 1 Clip 2 Tethers Lens Cloth USB Cable Quick Start Guide AKASO Brave 6 Plus Action Camera Remote Bandages Quick Start Guide 1 YOUR BRAVE 6 PLUS 3 1 4 5 2 6 7 8 10 9 2 11 1 Shutter/Select Button 7 USB Type-C Port 2 Power/Mode/Exit Button 8 Micro HDMI Port 3 Up/Wifi Button 9 Touch Screen 4 Down Button 10 Battery Door 5 Speaker 11 MicroSD Slot 6 Lens Note: The camera does not record sound when it is in the waterproof case. 3 GETTING STARTED Welcome to your AKASO Brave 6 Plus. To capture videos and photos, you need a microSD card to start recording (sold separately). MICROSD CARDS Please use brand name microSD cards that meet these requirements: • microSD, microSDHC or microSDXC • UHS-III rating only • Capacity up to 64GB (FAT32) Note: 1. -
Real-Time Burst Photo Selection Using a Light-Head Adversarial Network
Real-time Burst Photo Selection Using a Light-Head Adversarial Network Baoyuan Wang, Noranart Vesdapunt, Utkarsh Sinha, Lei Zhang Microsoft Research Abstract. We present an automatic moment capture system that runs in real-time on mobile cameras. The system is designed to run in the viewfinder mode and capture a burst sequence of frames before and after the shutter is pressed. For each frame, the system predicts in real-time a \goodness" score, based on which the best moment in the burst can be selected immediately after the shutter is released, without any user interference. To solve the problem, we develop a highly efficient deep neural network ranking model, which implicitly learns a \latent relative attribute" space to capture subtle visual differences within a sequence of burst images. Then the overall goodness is computed as a linear aggre- gation of the goodnesses of all the latent attributes. The latent relative attributes and the aggregation function can be seamlessly integrated in one fully convolutional network and trained in an end-to-end fashion. To obtain a compact model which can run on mobile devices in real-time, we have explored and evaluated a wide range of network design choices, tak- ing into account the constraints of model size, computational cost, and accuracy. Extensive studies show that the best frame predicted by our model hit users' top-1 (out of 11 on average) choice for 64:1% cases and top-3 choices for 86:2% cases. Moreover, the model(only 0.47M Bytes) can run in real time on mobile devices, e.g. -
FALL SEMESTER Photography 2- Advanced Photography
FALL SEMESTER Photography 2- Advanced Photography Quarter 1 Week 1/2– Let’s get clicking • Pre-assessment and Benchmark-Basic Camera Parts- Hands on learning, group work, basic camera parts qui • Review Course Syllabus, Classroom policy, loan agreement • Elements of Art and Principles of Design Advanced incorporation • Set up emails or set up 365 docs • Student Camera Inventory/Probability to secure 35mmSLRs • Rules and Room protocol • Styles of Photography Powerpoint followed by exercise and group presentation • Kodak Video -Youtube “6 Guidelines to Photographic Composition” with follow up written assignment • Without knowing…Smart phone photo search demonstrating use of six guidelines • Holding your camera. Safety, protection, and care. • Vertical, horizontal and when to use each orientation • Manual and semi automatic Cameras (AV, TV, M) • Camera Adjustments, proper exposure and focusing • Shutter Speed Variations • Aperture/F-stop Depth of Field • Light meter- Hand held- vs TTL • Exposure Combinations-Understanding your choices Communication Film Assignment, 36 exposure* DUE: One word 30 ways. Choose one word and digitally capture it 30 different. DUE: *Must Use Photo Logs for all film work Week 3/4 Review of key components: Lenses Contrast and Value • Lenses- Normal, Fixed, Macro • In School Scavenger Hunt Assignment- Groups and Rotation/Find it with your phone Assignment *Collage App- Using Albums • Photo Log/Journals • Chapter III Focus on Photography- Vocabulary and Summary • Value and Contrast • Proof Test Print- Show Value • 18% Gray card • High Key • Low Key Photos • Paper and Film- Types, Process, and Care • ISO/ASA and Emulsion • Everything Film - Loading film - 35mm Film Roll vs Bulk - Care and storage - Bulk rolling into canisters - Rolling Film and loading into canisters for Developing - Dry materials for Developing Film - Chemicals for Developing Film - Processing your negatives step by step • Everything Chemicals - Chemicals care and storage - Dry Materials for developing film - Stock vs. -
Language of Learning - KEY VOCABULARY
Language of learning - KEY VOCABULARY Camera: A usually hand-held device for taking pictures or films. Candid photography: A candid photograph is a photograph captured without creating a posed appearance. This is achieved in many ways, for example: when the subject is in motion, by avoiding prior preparation of the subject, by surprising the subject or by not distracting the subject during the process of taking photos. Capture: To represent or record. Composition: Manner of being composed, structure. Framing: 1.A border or case for enclosing a picture. 2. One of the successive pictures on a strip or film. Motion: The action or process of moving. Photography: 1.The process of producing images of objects by the action of light. 2. The art, practice, or occupation of taking and printing photographs, making cine films, etc. Posing: To (cause to) get into or hold a physical position, as for an artistic purpose. Scene: 1.The place where some action occurs or has occurred. 2. A view or picture. Shooting: To take a picture of; photograph. SLR: Single-lens reflex camera Snapshot: 1. An informal photograph, esp. one taken quickly by a hand-held camera. 2. A quick shot taken without deliberate aim. Snapshot aesthetic: A trend within fine art photography in the USA from around 1963. The style typically features apparently banal everyday subject matter and off- centred framing. Subject matter is often presented without apparent link from image-to-image and relying instead on juxtaposition and disjunction between individual photographs. Speed: 1.Quickness or rapidity in moving, traveling, performing, etc. -
Intro to Digital Photography.Pdf
ABSTRACT Learn and master the basic features of your camera to gain better control of your photos. Individualized chapters on each of the cameras basic functions as well as cheat sheets you can download and print for use while shooting. Neuberger, Lawrence INTRO TO DGMA 3303 Digital Photography DIGITAL PHOTOGRAPHY Mastering the Basics Table of Contents Camera Controls ............................................................................................................................. 7 Camera Controls ......................................................................................................................... 7 Image Sensor .............................................................................................................................. 8 Camera Lens .............................................................................................................................. 8 Camera Modes ............................................................................................................................ 9 Built-in Flash ............................................................................................................................. 11 Viewing System ........................................................................................................................ 11 Image File Formats ....................................................................................................................... 13 File Compression ...................................................................................................................... -
An Analysis and Implementation of the HDR+ Burst Denoising Method
Published in Image Processing On Line on 2021–05–25. Submitted on 2021–03–01, accepted on 2021–05–05. ISSN 2105–1232 c 2021 IPOL & the authors CC–BY–NC–SA This article is available online with supplementary materials, software, datasets and online demo at https://doi.org/10.5201/ipol.2021.336 2015/06/16 v0.5.1 IPOL article class An Analysis and Implementation of the HDR+ Burst Denoising Method Antoine Monod1,2, Julie Delon1, Thomas Veit2 1 MAP5, Universit´ede Paris, France ({antoine.monod, julie.delon}@u-paris.fr) 2 GoPro Technology, France ([email protected]) Abstract HDR+ is an image processing pipeline presented by Google in 2016. At its core lies a denoising algorithm that uses a burst of raw images to produce a single higher quality image. Since it is designed as a versatile solution for smartphone cameras, it does not necessarily aim for the maximization of standard denoising metrics, but rather for the production of natural, visually pleasing images. In this article, we specifically discuss and analyze the HDR+ burst denoising algorithm architecture and the impact of its various parameters. With this publication, we provide an open source Python implementation of the algorithm, along with an interactive demo. Source Code The Python implementation of HDR+ has been peer-reviewed and accepted by IPOL. The source code, its documentation, and the online demo are available from the web page of this article1. Compilation and usage instructions are included in the README.txt file of the archive. The code is also available on GitHub2. Keywords: burst denoising; computational photography; motion estimation; temporal filter- ing; high dynamic range; image signal processor 1 Introduction Image noise is a common issue in digital photography, and that issue is even more prominent in smaller sensors used in devices like smartphones or action cameras. -
UNDERSTANDING the DIFFERENT GENRES of STREET PHOTOGRAPHY Quick Guide Written by Diane Wehr
Photzy UNDERSTANDING THE DIFFERENT GENRES OF STREET PHOTOGRAPHY Quick Guide Written by Diane Wehr UNDERSTANDING THE DIFFERENT GENRES OF STREET PHOTOGRAPHY // © PHOTZY.COM 1 SPONSORED Advertise with us Before you dive into this guide, here's a few other free resources to help you learn photography: What is Your #1 Photography Killer? 3 Free Photography Cheat Sheets Free Photography eBooks Take this 30 second quiz to find out Grab 3 free photography cheat Free access to our library of 250+ the #1 thing holding your sheets that will help you downloadable (pdf) tutorials on photography back. understand the basics. everything you can imagine. Take Quiz → Download Cheat Sheets → Download eBooks → Want quick photography tips? Check out our friends at DailyPhotoTips.com they'll send you 1 solid photography tip to your inbox, 5 days a week. So you can start your day right, with actionable tips to help you on your creative journey. Subscribe now → (free for a limited time) SPONSORED Advertise with us There is no “Bureau of Street Photography” like the “Bureau of Weights and Measures,” which certifies the accuracies of weights and measures standards (United States) and even more importantly conducts evaluation on new commercial weighing devices. So it is every photographer for him, or her, self to decide where they stand on the philosophical issues of this genre of photography. We could have a lively discussion: What is your definition of street photography? Do you think street photography has to be candid? Does it have to be shot on the street, or even in a public place? Does it have to include people? When I came across an article by Spyros Papaspyropoulos of Street Hunters about the different types of street photography, it was so definitive that I thought, “Well, at least this is settled.” Of course, it is not. -
Nikon D5100: from Snapshots to Great Shots
Nikon D5100: From Snapshots to Great Shots Rob Sylvan Nikon D5100: From Snapshots to Great Shots Rob Sylvan Peachpit Press 1249 Eighth Street Berkeley, CA 94710 510/524-2178 510/524-2221 (fax) Find us on the Web at www.peachpit.com To report errors, please send a note to [email protected] Peachpit Press is a division of Pearson Education Copyright © 2012 by Peachpit Press Senior Acquisitions Editor: Nikki McDonald Associate Editor: Valerie Witte Production Editor: Lisa Brazieal Copyeditor: Scout Festa Proofreader: Patricia Pane Composition: WolfsonDesign Indexer: Valerie Haynes Perry Cover Image: Rob Sylvan Cover Design: Aren Straiger Back Cover Author Photo: Rob Sylvan Notice of Rights All rights reserved. No part of this book may be reproduced or transmitted in any form by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. For information on getting permission for reprints and excerpts, contact permissions@ peachpit.com. Notice of Liability The information in this book is distributed on an “As Is” basis, without warranty. While every precaution has been taken in the preparation of the book, neither the author nor Peachpit shall have any liability to any person or entity with respect to any loss or damage caused or alleged to be caused directly or indirectly by the instructions contained in this book or by the computer software and hardware products described in it. Trademarks All Nikon products are trademarks or registered trademarks of Nikon and/or Nikon Corporation. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. -
Computational Photography Research at Stanford
Computational photography research at Stanford January 2012 Marc Levoy Computer Science Department Stanford University Outline ! Light field photography ! FCam and the Stanford Frankencamera ! User interfaces for computational photography ! Ongoing projects • FrankenSLR • burst-mode photography • languages and architectures for programmable cameras • computational videography and cinematography • multi-bucket pixels 2 ! Marc Levoy Light field photography using a handheld plenoptic camera Ren Ng, Marc Levoy, Mathieu Brédif, Gene Duval, Mark Horowitz and Pat Hanrahan (Proc. SIGGRAPH 2005 and TR 2005-02) Light field photography [Ng SIGGRAPH 2005] ! Marc Levoy Prototype camera Contax medium format camera Kodak 16-megapixel sensor Adaptive Optics microlens array 125µ square-sided microlenses 4000 ! 4000 pixels ÷ 292 ! 292 lenses = 14 ! 14 pixels per lens Digital refocusing ! ! ! 2010 Marc Levoy Example of digital refocusing ! 2010 Marc Levoy Refocusing portraits ! 2010 Marc Levoy Light field photography (Flash demo) ! 2010 Marc Levoy Commercialization • trades off (excess) spatial resolution for ability to refocus and adjust the perspective • sensor pixels should be made even smaller, subject to the diffraction limit, for example: 36mm ! 24mm ÷ 2.5µ pixels = 266 Mpix 20K ! 13K pixels 4000 ! 2666 pixels ! 20 ! 20 rays per pixel or 2000 ! 1500 pixels ! 3 ! 3 rays per pixel = 27 Mpix ! Marc Levoy Camera 2.0 Marc Levoy Computer Science Department Stanford University The Stanford Frankencameras Frankencamera F2 Nokia N900 “F” ! facilitate research in experimental computational photography ! for students in computational photography courses worldwide ! proving ground for plugins and apps for future cameras 14 ! 2010 Marc Levoy CS 448A - Computational Photography 15 ! 2010 Marc Levoy CS 448 projects M. Culbreth, A. Davis!! ! ! A phone-to-phone 4D light field fax machine J. -
DIGITAL PHOTOGRAPHY SYLLABUS Instructor: Mr. Moodie Course
DIGITAL PHOTOGRAPHY SYLLABUS Instructor: Mr. Moodie Course Description This course will help the students become well rounded in the fundamentals of digital photography. Four areas of instruction will be emphasized: How cameras work, how composition works, how lighting works, how to use photo editing software. Students will, generally, receive basic instruction, demonstration, and see samples of the desired outcomes. They will be allowed to go outside the classroom to shoot assignments, based on what they are learning. Students will have the opportunities to discuss their work often. They will see what makes a successful photo and what does not. Students are expected to be able to work independently in order to complete assignments, often times bringing supplies from home to express their vision. At the end of this course, you will: • Know how to use various features of a Digital SLR camera to have creative control of your photographs. • Be able to decide what type of lighting to use in a given situation to produce optimum results. • See how photographic composition can make or break a photograph • Understand how to use photo editing software to improve the overall appearance of images NEEDS AND RESOURCES Learning Outcomes To successfully complete this course, students must: • Show up in class, on time! • Pass course quizzes • Complete assignments by given deadlines • Cooperate with other students and staff to increase learning potential • Take and Edit photos successfully using digital cameras and photo editing software • Research a photographer and report on his (or her) style and impact on photography • Take part in class discussions and critiques of photos presented in class. -
A Guide to Street Photography 1
A Guide To Street Photography By Michael Ernest Sweet A Guide To Street Photography 1 Introduction StreetPhotography.com was founded in 2016 and our mission is a simple one - to inspire, educate, and encourage street photographers, from all levels and backgrounds, to strive for their very best in terms of photographic production. We here at StreetPhotography.com then aim to showcase and promote that work - the very best in street photography today. This guide, a “quick start” guide to street photography, is meant to be a primer for those looking to enter this exciting genre. This guide may also be of interest to those with more experience as well. However, what this guide is not is a comprehensive or objective accounting of the vast world of street photography. It is not meant to be a final word on the subject or a complete reference. Rather, this guide is merely meant to put forth some of the basic considerations in the genre and provide some useful feedback on those points. Put another way, this guide is intended as a starting point - some food for thought as you go forth, camera in hand, and begin (or continue) your journey as a street photographer. The opinions expressed herein are just that, opinions. This guide is based on my decade of experience working in street photography. I’ve aimed to provide accurate reflections based on that experience, but also recognize that opinions vary and not everyone will agree on all points. Fair enough. Also, enough said. Enjoy the read! Michael Ernest Sweet June 1, 2019 A Guide To Street Photography 2 © Gil Rigoulet A Guide To Street Photography 3 Looking At Photography “I find it odd when I read guides about making photography that there is a profound lack of discussion about “looking” at photography.” I find it odd when I read guides about making photography that there is a profound lack of discussion about “looking” at photography.