Recent News

PicArrange 3.0 now finds images with words

Find your photos with words

PicArrange 3.0 allows to find your images with descriptions. Similarity search has been improved.

Creating sorted grid layouts with gradient-based optimization

Gradient-based sorting of 2D grid layouts

At ICMR’24 we presented the first paper on gradient-based sorting of grid layouts.

Continuous Refining Exploration Graph for Multimedia Retrieval

Exploration Graph for Multimedia Retrieval

At ICMR’24 we presented our work on efficient multimedia retrieval using a continuous refining Exploration Graph.

Video Browser Showdown 2024

VBS24: Winner of the "Textual Known Item Search" Task

At the Video Browser Showdown 2024 we won the "Expert Textual Known Item Search" challenge.

About Us Visual Computing Group @ HTW Berlin

About Us

The Visual Computing Group is a collaboration of various researchers at the HTW Berlin who work in the fields of:

  • Machine Learning
  • Information Retrieval
  • Visual clustering & sorting
  • Computer Vision
  • Immersive Imaging
  • Neural Rendering
More about us

Recent Publications

Creating Sorted Grid Layouts with Gradient-based Optimization

Kai Uwe Barthel, Florian Tim Barthel, Peter Eisert, Nico Hezel, Konstantin Schall
2024 International Conference on Multimedia Retrieval (ICMR '24)

This paper introduces a gradient-based optimization method for efficiently arranging high-dimensional vectors on 2D grids, using a novel loss function to balance valid permutations and similarity-based arrangement for improved sorting quality.

Libro - Lifelog Search Browser

Nico Hezel, Konstantin Schall, Bruno Schilling, Klaus Jung, Kai Uwe Barthel
7th Annual ACM Workshop on the Lifelog Search Challenge (LSC '24)

This paper introduces Libro, a powerful tool for interactive image retrieval and browsing, which won the Runner-up and the Best New Entrant awards at the Lifelog Search Challenge 2024.

An Exploration Graph with Continuous Refinement for Efficient Multimedia Retrieval

Nico Hezel, Kai Uwe Barthel, Konstantin Schall, Klaus Jung
2024 International Conference on Multimedia Retrieval (ICMR '24)

As datasets get larger, searching within them becomes slower. This paper presents a continuous refining Exploration Graph (crEG) for Approximate Nearest Neighbor Search in large multimedia databases. The new graph provides a best balance between search speed and accuracy.

Optimizing the Interactive Video Retrieval Tool Vibro for the Video Browser Showdown 2024

Konstantin Schall, Nico Hezel, Kai Uwe Barthel, Klaus Jung
30th International Conference on MultiMedia Modeling (MMM 2024)

Vibro is an interactive video retrieval system that won the Video Browser Showdown in 2022 and 2023. This paper outlines its core concepts and recent updates for the 2024 competition. It also proposes an evaluation method used to optimize the system's embedding model for image- and text-to-image retrieval.