Terzani online museum: Difference between revisions

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Through this platform, the viewers can search the photos based on location or text search or by uploading an image to get similar images. Also, as an experimental feature, users can try to colorize the pictures.
Through this platform, the viewers can search the photos based on location or text search or by uploading an image to get similar images. Also, as an experimental feature, users can try to colorize the pictures.
= Website and Features =
= Description =
== Architecture ==
== Database Design ==
== Scrapping of images from IIIF manifest ==
== Creation of Image tags, annotation, and Landmarks ==
== Creation of Image feature vectors ==
== Creation of Text based Search ==
== Creation of Image based Search ==
== Creation of Country based gallery ==
= Quality assessment =
= Code Realisation and Github Repository =
The GitHub repository of the project is at [https://github.com/JanMaxime/terzani_online_museum ''Terzani Online Museum'']. There are two principal components of the project. The first one corresponds to the creation of a database of the images with their corresponding tags, bounding boxes of objects, landmarks and text identified, and their feature vectors. The functions related to these operations are inside the folder (package) ''terzani'' and the corresponding script in the ''scrpits'' folder. The second component is the website that is in the ''website'' directory. The details of installation and usage are available on the Github repository.


= Schedule =  
= Schedule =  
Line 76: Line 96:


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|}
= Website and Features =
= Description =
== Architecture ==
== Database Design ==
== Scrapping of images from IIIF manifest ==
== Creation of Image tags, annotation and Landmarks ==
== Creation of Image feature vectors ==
== Creation of Text based Search ==
== Creation of Image based Search ==
== Creation of Country based gallery ==
= Quality assessment =
= Github Repository =
= References =
= References =

Revision as of 06:42, 10 December 2020

Introduction

Many inventions in human history have set the course for the future. One of them is a camera, which has transformed the way we share bondings and stories.

Terzani

Storytelling is an essential part of the human journey. Starting from what one does when waking up in the morning to the explorations in the deep space, the connections are formed through stories. The tales were mostly transferred through sound until recently[1]. The invention of the camera[2] started to change the landscape of this narrative. People could capture live-action into images. Later, this leads to the invention of the video camera[3], color photos/videos[4] [5], and now we can nearly see the entire world in augmented reality[6] as if we are living the moment. However, many important events in history are captured as photographs for a long time now. To understand the then situations better, one would immensely gain by looking at the photographs if not videos. If not for research, it is always fascinating to visit history and appealing to see the pictures of past times. Nevertheless, having to go through an innumerable number of images is not productive. Thus, we want to create an online platform that would help access these photographs and travel through them.


Tiziano Terzani[7] was an Italian journalist and writer. He had extensively traveled in east Asia[8] and witnessed many important events. During the travel, he and his team have captured many pictures. The Cini foundation digitized some of his photo collections Terzani photo collections. Through this project, we try to bring the photographs taken during his trip to South Asian countries to an online platform and present them to the 21st-century digital audience.


Through this platform, the viewers can search the photos based on location or text search or by uploading an image to get similar images. Also, as an experimental feature, users can try to colorize the pictures.


Website and Features

Description

Architecture

Database Design

Scrapping of images from IIIF manifest

Creation of Image tags, annotation, and Landmarks

Creation of Image feature vectors

Creation of Text based Search

Creation of Image based Search

Creation of Country based gallery

Quality assessment

Code Realisation and Github Repository

The GitHub repository of the project is at Terzani Online Museum. There are two principal components of the project. The first one corresponds to the creation of a database of the images with their corresponding tags, bounding boxes of objects, landmarks and text identified, and their feature vectors. The functions related to these operations are inside the folder (package) terzani and the corresponding script in the scrpits folder. The second component is the website that is in the website directory. The details of installation and usage are available on the Github repository.


Schedule

Timeframe Tasks
Week 5-6
  • Investigate methods to scrape images from the Cini IIIF manifest.
  • Study methods and models to colorize images.
Week 6-7
  • Exploring Google Vision API
  • Prototype Image colorization
  • Investigation web technologies to create a website
  • Preliminary prototyping of the website
Week 7-8
  • Designing the database
  • Script to run google vision API on the images and store in the database
  • Develop a basic text-matching based search engine.
Week 8-9
  • Prepare midterm presentation
  • Use Google Vision's tags in the text search queries
  • Enhance website UI
Week 9-10
  • Fill database with photographies' feature vectors
  • Pre-process Google Vision annotations (lemmatization, tokenization, ...) to enhance search queries
  • Manually attribute a country to each photo collection
  • Create a photo gallery to explore the photo by country
Week 10-11
  • Improving the Website UI
  • Create an inverted file to process the search queries faster
  • Start searching users for feedback
Week 11-12
  • Create Image-based search engine
  • Allow image colorization option to the website
  • Hosting the website
  • User feedback
Week 12-13
  • Website modifications based on user feedback
  • Code refactoring
  • Report writing
  • Exploratory Data Analysis on the Image annotation data (optional)
  • Add feedback option on the website
Week 13-14
  • Report writing
  • Code refactoring

References