No abstract

Colorization of grayscale images has become a more researched area in the recent years, thanks to the advent of K-mean clustering networks. We attempt to apply this concept to colorization of real images obtained from video sequences. Previous similar research focused mainly colorization of natural images, while colorization of real is traditionally done by leveraging manual scribble methods. Our proposed method is a fully automated process. To implement it, we propose and compare two distinct K-mean clustering architectures trained under various loss functions. We aim to compare each variant based on results obtained as individual images.

The project INAV- Informative Net Asset Value is used to reduce efforts used by the land buyers and land sellers by directing the land buyers directly with the land sellers who are interested to sell their properties without interfering with the mediators, who plays a role in between buyer and seller. The main aim of our research paper is to connect land or flat buyers and sellers from different place, by using this application they can find the location and the land for selling and also there will be the contact details of seller with that they can directly contact them. The customer can search the location of the land which they need using the google maps which is in build into the application. The project uses the Android Studio software using the java language and MySQL Server to store data.