Terzani online museum

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. 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 deepspace 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 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 old 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.

Terzani

Tiziano Terzani[7] was an Italian journalist and writer. He had extensively traveled in east Asia 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.

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