Photo from history Team: Zhaochun Ren Ran XUE Max Ukhanov Dmitry Ivashchenko.

Slides:



Advertisements
Similar presentations
Looking Ahead Archive-It Partner Meeting November 12, 2013.
Advertisements

Interactive High-End Touchscreen Information Systems TOYOTA 2005.
ARNOLD SMEULDERS MARCEL WORRING SIMONE SANTINI AMARNATH GUPTA RAMESH JAIN PRESENTERS FATIH CAKIR MELIHCAN TURK Content-Based Image Retrieval at the End.
Optimizing SharePoint Search Using Scope and Managed Properties By Kevin Israel, MVP.
1 Content-Based Retrieval (CBR) -in multimedia systems Presented by: Chao Cai Date: March 28, 2006 C SC 561.
Relevance Feedback Content-Based Image Retrieval Using Query Distribution Estimation Based on Maximum Entropy Principle Irwin King and Zhong Jin Nov
Location based social networking on Android phones – integrated with Facebook. Simple and easy to use.
By Liqiang Cheng, Naiqi Jin and Jason Yap. Project Description Project summary: A Geo-spatial search system that collects and combines data from various.
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
Content-based Image Retrieval CE 264 Xiaoguang Feng March 14, 2002 Based on: J. Huang. Color-Spatial Image Indexing and Applications. Ph.D thesis, Cornell.
Image Search Presented by: Samantha Mahindrakar Diti Gandhi.
12/13/20051 Egypt Education Service (EES) Capstone Design Mohammed Khalilia Saif Khairat.
Content-Based Image Retrieval (CBIR) Student: Mihaela David Professor: Michael Eckmann Most of the database images in this presentation are from the Annotated.
1 Visual Information Extraction in Content-based Image Retrieval System Presented by: Mian Huang Weichuan Dong Apr 29, 2004.
1 An Empirical Study on Large-Scale Content-Based Image Retrieval Group Meeting Presented by Wyman
Some tips and ideas MAKE YOUR MOVIE POSTER. PARTS OF A MOVIE POSTER Important names in your video – these will be the historical people in your topic.
SharePoint 2010 Business Intelligence Module 3: Business Intelligence Center.
SIEVE—Search Images Effectively through Visual Elimination Ying Liu, Dengsheng Zhang and Guojun Lu Gippsland School of Info Tech,
SciFinder Web Version Pootorn R. Book Promotion & Service Co.,Ltd. Thailand.
Item Web 2.0 application relevant to teacher’s work.
SOCIAL NETWORKS AND THEIR IMPACTS ON BRANDS Edwin Dionel Molina Vásquez.
Customizing Web Content Using Google Maps Kay Benjamin & Nancy Cannon LiSUG October 10, 2008 Utica, NY.
JISCrte Meeting, May 25,2011 Dr. Yu Qian School of Engineering Information Sciences, Middlesex University
Multimedia Databases (MMDB)
 The ability to develop step by step procedures for solving problems  She uses algorithmic thinking by setting up her charts.
Overview of Data Access MacDonald Ch. 15 MIS 324 Professor Sandvig.
Content-Based Image Retrieval
Middlesex Medical Image Repository Dr. Yu Qian
Recommendation system MOPSI project KAROL WAGA
SocialTrackr A research tool for gathering, viewing and analyzing socio-spatio-temporal data through a mobile device. Image: perey.com (Jan 2011) Grant.
Like.com vs. Ugmode Non-infringement arguments *** CONFIDENTIAL *** Prepared by Ugmode, Inc.
Computer Vision – Overview Hanyang University Jong-Il Park.
Search - on the Web and Locally Related directly to Web Search Engines: Part 1 and Part 2. IEEE Computer. June & August 2006.
1 Geospatial and Business Intelligence Jean-Sébastien Turcotte Executive VP San Francisco - April 2007 Streamlining web mapping applications.
By: Michael K. Pa’ekukui Grand Canyon University TEC 539.
Introducing HingX now with Capacity Development Network.
Qing-Cai Chen; Xiao-Hong Yang; Xiao-Long Wang Machine Learning and Cybernetics (ICMLC), 2011 International Conference on Year: 2011, Page(s): 1878 – 1883.
3 Star Info is a Professional and top-rated I-Phone Application Development Company in Chennai, Tamilnadu, India. We develop I-Phone App that can help.
What do you notice about this picture? Text Features
Nextsearch, Inc. Image search and e-commerce firm. Visual Shopping Search based on CBIR September, 2010.
WEB MINING. In recent years the growth of the World Wide Web exceeded all expectations. Today there are several billions of HTML documents, pictures and.
Google Refine for Data Quality / Integrity. Context BioVeL Data Refinement Workflow Synonym Expansion / Occurrence Retrieval Data Selection Data Quality.
2005/12/021 Fast Image Retrieval Using Low Frequency DCT Coefficients Dept. of Computer Engineering Tatung University Presenter: Yo-Ping Huang ( 黃有評 )
Bike Day Team: Blue Jens Titterness, Shifan Wu. Advantage (what & why) Mobility o Customized for windows phone o Fully utilize phone features o Easy to.
1 Applications of video-content analysis and retrieval IEEE Multimedia Magazine 2002 JUL-SEP Reporter: 林浩棟.
Alfresco Daeja Integration Yong Qu Chief Solutions Architect
Web Design and Development. World Wide Web  World Wide Web (WWW or W3), collection of globally distributed text and multimedia documents and files 
 AJAX – Asynchronous JavaScript and XML  Ajax is used to develop fast dynamic web applications  Allows web pages to be updated asynchronously by transferring.
Proposal Nemo Hajiyusuf Ekaterina Mineeva Arpi Shaverdian.
Soon Joo Hyun Database Systems Research and Development Lab. US-KOREA Joint Workshop on Digital Library t Introduction ICU Information and Communication.
SAPIR Search in Audio-Visual Content using P2P Information Retrival For more information visit: Support.
Navigation and Menus Will Meurer. Topics Navigation Basics Navigational Elements Other Navigation Techniques Implementation Usability Take Away Points.
A Genetic Algorithm-Based Approach to Content-Based Image Retrieval Bo-Yen Wang( 王博彥 )
Relevance Feedback in Image Retrieval System: A Survey Tao Huang Lin Luo Chengcui Zhang.
Web 2.0 IS530 Fall 2009 Dr. Dania Bilal. Web 2.0 Is the Web that is being transformed into a computing platform for delivering web applications to end.
Excel Services Displays all or parts of interactive Excel worksheets in the browser –Excel “publish” feature with optional parameters defined in worksheet.
Travesoft A web product developed for Travel & Tours Companies by Gridaxis softwares travesoft.gridaxis.in Gridaxis Softwares.
1 Web Search What are easy ways to create a website? 2 Web Search What is a blog? What type of content does this type of website provide? 3 Web.
Skills: none Concepts: client, server, service, upload, download, client-server application, Internet, hardware, software This work is licensed under a.
MULTIMEDIA SYSTEMS CBIR & CBVR. Schedule Image Annotation (CBIR) Image Annotation (CBIR) Video Annotation (CBVR) Video Annotation (CBVR) Few Project Ideas.
Lecture-6 Bscshelp.com. Todays Lecture  Which Kinds of Applications Are Targeted?  Business intelligence  Search engines.
What is an Atlas?. Atlas of Greek Mythology Atlas of the Library In the library, an Atlas is a book of maps.
Instructor: Dr. Wen-Hung Liao 2/21/2017
Oshopsoft oshopsoft.gridaxis.in Gridaxis Softwares
Store, Share, Sync and Collaborate
Content-based Image Retrieval
Multimedia Information Retrieval
Image Search Engine on Internet
The American Dream: Analyzing Images
Unit 10 The Web Book Test.
Presentation transcript:

Photo from history Team: Zhaochun Ren Ran XUE Max Ukhanov Dmitry Ivashchenko

Topicality Tourist

Solution lookup Do not reinvent the wheel (use existing technologies and services) Make application easy to use Save users from routine information retrieval (maps, books)

Solution Building Tourist Photo Photo From History Historical info

Server : A CBIR system on GPS What is CBIR system: Content-based Information Retrieval System

Retrieval Process Analyze the image content: Color, Local Shape, Texture Find similar images in file system Crawling and IndexingMachine Learning

Our Server retrieval process Find similar images from file system Refine using GPS Give the context with the right image PHOTO GPS position

Client part Key features: Simple design Integration with social networks (Twitter, Facebook) Possible to work without GPS-module* * could use the GPRS-positioning

Techniques behind the scene 1. Crawl images from the web: Building photos with various angles History description in Wikipedia and other sources. Positions of them (“Heritrix” is used in this application) 2. Index all Photos in one file System: Using “Lucene” to do this indexing…

Want to know something new in this world? Use “Photo from history”!

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.