4 citations · 6 across the 13 of their papers we have counts for
17 papers · 1 filter
PERSIST: Persistent-State Discrimination for Shot Boundary Detection
Tingyu Lin, Christian Stippel, Armin Dadras +4
Shot boundary detection (SBD) is widely treated as the localisation of local visual discontinuities, yet many false positives such as hand-held shake, illumination flicker, motion…
Semantically Stable Image Composition Analysis via Saliency and Gradient Vector Flow Fusion
Armin Dadras, Robert Sablatnig, Franziska Proksa +1
The reliable computational assessment of photographic composition requires features that are discriminative of spatial layout yet robust to semantic content. This paper proposes a…
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…
Camera Movement Classification in Historical Footage: A Comparative Study of Deep Video Models
Tingyu Lin, Armin Dadras, Florian Kleber +1
Camera movement conveys spatial and narrative information essential for understanding video content. While recent camera movement classification (CMC) methods perform well on moder…
Few-Shot Connectivity-Aware Text Line Segmentation in Historical Documents
Rafael Sterzinger, Tingyu Lin, Robert Sablatnig
A foundational task for the digital analysis of documents is text line segmentation. However, automating this process with deep learning models is challenging because it requires l…