Image Is Everything Go With A Pro Why Professional Real Estate - PowerPoint PPT Presentation

Jun 29, 2023 •706 likes •907 views

Image Is Everything Go With A Pro Why Professional Real Estate Photography Works: 1. Professional Photography holds a buyers attention for at least 20 seconds compared to 2 seconds without images. (marketleader.com) 2. Listings with

Image Is Everything
Go With A Pro Why Professional Real Estate Photography Works: 1. Professional Photography holds a buyer’s attention for at least 20 seconds compared to 2 seconds without images. (marketleader.com) 2. Listings with photographs taken by pros sold for $3,400 to $11,200 more than their initial listing price. (Leading National Brokerage) 3. Listings that feature professional photography receive 61% more views. (wsj.com) 4. 84% of homebuyers cited they wouldn’t even consider a property if the listing didn’t have photography. (cbsnews.com) 5. 83% of homebuyers find professional real estate photography “very useful” during the decision-making process. (propertiesonline.com)
The VHT Studios Advantage  Founded in 1998  Over 1 Million Properties Photographed  Over 10 Million Rooms Photographed  Over $200 Billion In Properties Photographed  250 of the nation’s top Professional Real Estate & Architectural Photographers call VHT Studios their home
The Professional Difference is Clear! Amateur VHT Studios Photograph Photograph
The Professional Difference is Clear! Amateur VHT Studios Photograph Photograph
The Professional Difference is Clear! Amateur VHT Studios Photograph Photograph
Products & Services
Photography Services Signature Premium
Photography Services Signature Premium
Studio Enhancements Replace Green Grass Before After
Studio Enhancements Blue Sky Upgrade Before After
Drone/Aerial Photography & Video Drone/Aerial Sample
Interactive Floor Plans
Virtual Staging Before After -Help homebuyers envision the potential of a vacant property or an empty room -A depiction of how spaces can be furnished and decorated -Choose from our carefully curated collection of furniture and décor options Virtual Staging Samples
Paint Before After -Visualize the beauty of a space without lifting an actual paintbrush -Virtually change any flat surface to any color you choose -Remove dated wallpaper or add a bright accent wall Virtual Staging Samples
Virtual Declutter Before After -A post-shoot solution for unwanted clutter; from a messy coffee tables and kitchen countertops to disorderly bookshelves and more -Removes any items that interferes with visualizing the full potential of a space -Gets rid of clutter while leaving major furnishings in the room Virtual Staging Samples
Virtual Redecorate Before After -The ultimate transformation -Remove existing furniture and décor down to bare walls, ceilings and floors; anything short of structural changes -Completely redecorate the space by changing furnishings, décor, flooring or wall colors Virtual Staging Samples
3-D Tours

Recommend

Image Restoration Image Enhancement and Image Restoration both deal with improving images. Image

Image Restoration Image Enhancement and Image Restoration both deal with improving images. Image Analysis In Image Enhancement, the quality of the improved image was Image Restoration and Reconstruction judged subjectively. In contrast, Image

349 views • 8 slides

Image Features Sanja Fidler CSC420: Intro to Image Understanding 1 / 1 Image Features Image

Image Features Sanja Fidler CSC420: Intro to Image Understanding 1 / 1 Image Features Image features are useful descriptions of local or global image properties designed (or learned!) to accomplish a certain task You may want to choose di ff

941 views • 70 slides

Image formation How are objects in the world captured in Image formation an image? Matlab

Image formation How are objects in the world captured in Image formation an image? Matlab tutorial Tuesday, Sept 2 Image formation Physical parameters of image formation object film Geometric Type of projection Camera

190 views • 8 slides

Image Transforma1ons image filtering : change range of image Image Processing : g(x) =

Image Transforma1ons image filtering : change range of image Image Processing : g(x) = h(f(x)) Transforma1ons, Warping and Morphing h Last Week Courtesy: Irfan Essa, Georgia Tech James Hayes, Georgia Tech Alexei Efros, UC Berkeley

308 views • 6 slides

Image Features Sanja Fidler CSC420: Intro to Image Understanding 1 / 64 Image Features Image

Image Features Sanja Fidler CSC420: Intro to Image Understanding 1 / 64 Image Features Image features are useful descriptions of local or global image properties designed to accomplish a certain task You may want to choose different features

1.09k views • 71 slides

Technological development and use across disciplines Image: ESA/ATG Medialab Image: CAGE, UiT

Technological development and use across disciplines Image: ESA/ATG Medialab Image: CAGE, UiT Image: NTNU Applied underwater robotics Lab RV Kronprins Haakon Image/data: nuka.uib.no Selected Norwegian marine observations in the Arctic

272 views • 3 slides

Chapter 4 IMAGE PROC IMAGE PROCESSIN ESSING ILWIS for Windows contains a set of image

Chapter 4 IMAGE PROC IMAGE PROCESSIN ESSING ILWIS for Windows contains a set of image processing tools for enhancement and analysis of data from space borne or airborne platforms. In this chapter, the routine applications such as image

1.22k views • 88 slides

Image Resizing / Goal: Mimic a be7er photographer by Retarge.ng improving image quality

10/4/16 Advanced Image Edi.ng Tools Image Resizing / Goal: Mimic a be7er photographer by Retarge.ng improving image quality Image retarge.ng (resize image) Image comple.on (erase and fill unwanted areas) Texture synthesis

340 views • 10 slides

IM IMAGE-TO TO-IM IMAGE T TRANSLATIO ION W WIT ITH C CONDIT ITIO IONAL AD ADVERSAR

IM IMAGE-TO TO-IM IMAGE T TRANSLATIO ION W WIT ITH C CONDIT ITIO IONAL AD ADVERSAR ARIAL AL NETWORKS Yuanjie Lu 9 th April What is image to image? Seems like a language concept can be translated into Chinese, French, Italian,

462 views • 17 slides

Is Digital Technology Image 1 Restructuring the brain? Globally connected Image 2 Image 3 How

Is Digital Technology Image 1 Restructuring the brain? Globally connected Image 2 Image 3 How do we interact? Image 4 Image 5 What do others think? Young people are born into technology, and theyre used to using it 24/7, their brains

614 views • 15 slides

Image Processing Todays Class Image Representations: Matrices Image Representations: RGB,

CS6501: Deep Learning for Visual Recognition Image Processing Todays Class Image Representations: Matrices Image Representations: RGB, HSV, etc Image Processing: Brightness Image Filtering: Mean Filter, Median Filter Image Filtering:

959 views • 77 slides

RGBD Tutorial 14210240041 Gu Pan Image RGB YUV Lab Depth Image RGB image Depth image Each pixel in

RGBD Tutorial 14210240041 Gu Pan Image RGB YUV Lab Depth Image RGB image Depth image Each pixel in depth image shows the distance to camera Device Kinect Kinect2 (we use) SoftKinetic Leapmotion Kinect Depth camera developed by

480 views • 29 slides

The Digital Image What is a Digital Image? How to Make an Image a Computable Entity

The Digital Image What is a Digital Image? How to Make an Image a Computable Entity Convert 3D Scene to a 2D Computational Photography ] CS 4475/6475 Maria Hybinette Today: How the digital information of the sensor can be used

568 views • 7 slides

Introduction: What is Image Processing? CS 4640: Image Processing Basics January 10, 2012 What

Introduction: What is Image Processing? CS 4640: Image Processing Basics January 10, 2012 What is Image Processing? Definition Image processing is the study of any algorithm that takes an image as input and returns an image as output.

530 views • 16 slides

YIN XU 1. Image Segmentaion & Retrieval What is image segmentation? Whats the

CS688: Large-Scale Image & Video Retrieval (Spring 2020) YIN XU 1. Image Segmentaion & Retrieval What is image segmentation? Whats the relationship to image retrieval? 2. Current challenges & solutions: Challenges: Intra-class

239 views • 23 slides

Deep Learning in Image Processing Topics: Image Filtering 101 CNNs 101 Image

Deep Learning in Image Processing Topics: Image Filtering 101 CNNs 101 Image Processing Pipelines Frank Dellaert CS 4476 Computer Vision Many slides from Stanfords CS231N by Fei-Fei Li, Justin Johnson, Serena Yeung, as well as

1.46k views • 79 slides

Financial Aid Review Monique Boyd Office of Student

The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and

581 views • 25 slides

In the beginning God created the heavens and the earth. Gen 1:1 IN INTR TRODUCTIO UCTION

652 views • 64 slides

Image Definition and point operation g p p WHAT IS AN IMAGE? WHAT IS AN IMAGE? Ideally, we

VIDEO SIGNALS VIDEO SIGNALS Image Definition and point operation g p p WHAT IS AN IMAGE? WHAT IS AN IMAGE? Ideally, we think of an image Id ll hi k f i i mage as a 2-di 2 di di dimens mensiona i onal l li l li li h light

560 views • 40 slides

BBM 413 Today Fundamentals of What is image processing? Image Processing What does it

BBM 413 Today Fundamentals of What is image processing? Image Processing What does it mean, to see? Vision as a computational problem Sample image processing problems Erkut Erdem Dept. of Computer Engineering Hacettepe

399 views • 13 slides

Image restoration IMAGE P ROCES S IN G IN P YTH ON Rebeca Gonzalez Data Engineer Restore an

Image restoration IMAGE P ROCES S IN G IN P YTH ON Rebeca Gonzalez Data Engineer Restore an image IMAGE PROCESSING IN PYTHON Image reconstruction Fixing damaged images T ext removing Logo removing Object removing IMAGE PROCESSING IN

717 views • 50 slides

4. Lecture Image enhancement: Filtering 1 Image preprocessing Aims: Improvement of

4. Lecture Image enhancement: Filtering 1 Image preprocessing Aims: Improvement of image data Suppress unwanted distortions Highlight interesting features Image preprocessing does not increase the information content

704 views • 44 slides

WORD AND IMAGE Word and Image CDIL-305 Nick Edlund t Type and image are the visible

RELATING WORD AND IMAGE Word and Image CDIL-305 Nick Edlund t Type and image are the visible elements of design There is a natural contast between forms. How can we relate them to create harmony? Position Layering Artists have

737 views • 37 slides

Image Smoothing ! Chicken-and-egg dilemma! " ! Edge preserving image smoothing !

Review - Smoothing and Edge Detection " BBM 413 ! Fundamentals of ! While eliminating noise via smoothing, we also lose some of the (important) image details. ! Image Processing ! Fine details ! Image edges ! etc. ! Erkut Erdem

688 views • 25 slides