Unified Angle Adjustment Network for Image Composition Enhancement

Jinwon Ko, Nyeong Ho Shin, Seonho Lee, Chang Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose an angle adjustment algorithm for the composition enhancement of digital photographs. The proposed algorithm jointly learns the scene type, composition, and semantic line information of an image to improve the accuracy of angle adjustment. To this end, we design a unified angle adjustment network (UAAN), which consists of a unified encoder and four task-specific refinement modules and estimators. First, we generate shared features using the unified encoder. Then, we refine those features using the refinement modules to perform the four tasks of angle regression, scene type classification, composition classification, and semantic line detection. Experimental results demonstrate the effectiveness of the proposed UAAN algorithm.

Original languageEnglish
Title of host publicationProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1053-1057
Number of pages5
ISBN (Electronic)9786165904773
DOIs
Publication statusPublished - 2022
Event2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 - Chiang Mai, Thailand
Duration: 2022 Nov 72022 Nov 10

Publication series

NameProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022

Conference

Conference2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Country/TerritoryThailand
CityChiang Mai
Period22/11/722/11/10

Bibliographical note

Funding Information:
This work was supported by the Naver Corporation and the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT) (No. NRF-2022R1A2B5B03002310 and No. NRF-2021R1A4A1031864).

Publisher Copyright:
© 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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