GSoC’17 : First Blog

Hello readers

I’m glad to share this opportunity to be selected 2 times for Google Summer of Code project under KDE. It’s my second consecutive year working with DigiKam team.

DigiKam is an advanced digital photo management  application which enables user to view, manage, edit, organise, tag and share photographs under Linux systems. DigiKam has a feature to search items by similarity. This require to compute image fingerprints stored in main database. These data can take space on disk especially with huge collection and bloat the main database a lots and increase complexity to backup main database which include all main information for each item registered, as tags, label, comments, etc.

The goal of this proposal is to store the similarity fingerprints must be stored in a dedicated database. This would be a big relief for the end users as image fingerprints are around few KB of raw data for each image. And storing all of them takes huge disk space, increases time latency for huge collections.

Thus, to overcome all the above issues, a new DB interface would be created. {This work has already been done for thumbnail and face fingerprints}. Also, from backup point of view, it’s easy to have separate files to optimise.

I’ll add keep you guys updated with my work in upcoming posts.

Till then, I encourage you to use the software. It’s easy to install and use. (You can find cheat sheet to build DigiKam in my previous post! 😀 )

Happy DigiKaming! 🙂

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