English

Towards Practicality of Sketch-Based Visual Understanding

Computer Vision and Pattern Recognition 2022-10-28 v1

Abstract

Sketches have been used to conceptualise and depict visual objects from pre-historic times. Sketch research has flourished in the past decade, particularly with the proliferation of touchscreen devices. Much of the utilisation of sketch has been anchored around the fact that it can be used to delineate visual concepts universally irrespective of age, race, language, or demography. The fine-grained interactive nature of sketches facilitates the application of sketches to various visual understanding tasks, like image retrieval, image-generation or editing, segmentation, 3D-shape modelling etc. However, sketches are highly abstract and subjective based on the perception of individuals. Although most agree that sketches provide fine-grained control to the user to depict a visual object, many consider sketching a tedious process due to their limited sketching skills compared to other query/support modalities like text/tags. Furthermore, collecting fine-grained sketch-photo association is a significant bottleneck to commercialising sketch applications. Therefore, this thesis aims to progress sketch-based visual understanding towards more practicality.

Keywords

Cite

@article{arxiv.2210.15146,
  title  = {Towards Practicality of Sketch-Based Visual Understanding},
  author = {Ayan Kumar Bhunia},
  journal= {arXiv preprint arXiv:2210.15146},
  year   = {2022}
}

Comments

PhD thesis successfully defended by Ayan Kumar Bhunia, Supervisor: Prof. Yi-Zhe Song, Thesis Examiners: Prof Stella Yu and Prof Adrian Hilton

R2 v1 2026-06-28T04:36:54.303Z