5 papers
DGME-T: Directional Grid Motion Encoding for Transformer-Based Historical Camera Movement Classification
Tingyu Lin, Armin Dadras, Florian Kleber +1
Camera movement classification (CMC) models trained on contemporary, high-quality footage often degrade when applied to archival film, where noise, missing frames, and low contrast…
ClapperText: A Benchmark for Text Recognition in Low-Resource Archival Documents
Tingyu Lin, Marco Peer, Florian Kleber +1
This paper presents ClapperText, a benchmark dataset for handwritten and printed text recognition in visually degraded and low-resource settings. The dataset is derived from 127 Wo…
Towards the Influence of Text Quantity on Writer Retrieval
Marco Peer, Robert Sablatnig, Florian Kleber
This paper investigates the task of writer retrieval, which identifies documents authored by the same individual within a dataset based on handwriting similarities. While existing…
KaiRacters: Character-level-based Writer Retrieval for Greek Papyri
Marco Peer, Robert Sablatnig, Olga Serbaeva +1
This paper presents a character-based approach for enhancing writer retrieval performance in the context of Greek papyri. Our contribution lies in introducing character-level annot…
SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
Marco Peer, Florian Kleber, Robert Sablatnig
This paper introduces SAGHOG, a self-supervised pretraining strategy for writer retrieval using HOG features of the binarized input image. Our preprocessing involves the applicatio…