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Bishnupur heritage image dataset (BHID): a resource for various computer vision applications

Published: 18 December 2016 Publication History

Abstract

Bishnupur is an attractive tourist place in West Bengal, India and is known for its terracotta temples. The place is one of the prospective candidates to be included in the list of UNESCO World Heritage sites. We intend to preserve this heritage site digitally and also to present some virtual interaction for the tourist and researchers. In this paper, we present an image dataset of different temples (namely, Jor Bangla, Kalachand, Madan Mohan, Radha Madhav, Rasmancha, Shyamrai and Nandalal) in Bishnupur for evaluating different types of computer vision and image processing algorithms (like 3D reconstruction, image inpainting, texture classification and content specific image retrieval). The dataset is captured using four different cameras with different parameter settings. Some datasets are extracted and earmarked for certain applications such as texture classification, image inpainting and content specific image retrieval. Example results of baseline methods are also shown for these applications. Thus we evaluate the usefulness of this dataset. To the best of our knowledge, probably this is the first attempt of combined dataset for evaluating various types of problems for a heritage site in India. The dataset is publicly available at http://www.isical.ac.in/~bsnpr/ for research purpose only.

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  • (2023)Tirtha - An Automated Platform to Crowdsource Images and Create 3D Models of Heritage SitesProceedings of the 28th International ACM Conference on 3D Web Technology10.1145/3611314.3615904(1-15)Online publication date: 9-Oct-2023
  • (2022)Language Model Based Related Word Prediction from an Indian Epic-Mahabharata2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)10.1109/IIHC55949.2022.10059974(1468-1474)Online publication date: 18-Nov-2022
  • (2022)Estimating Related Words Computationally Using Language Model from the Mahabharata an Indian EpicICT Analysis and Applications10.1007/978-981-19-5224-1_63(627-638)Online publication date: 6-Nov-2022
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      ICVGIP '16: Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing
      December 2016
      743 pages
      ISBN:9781450347532
      DOI:10.1145/3009977
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 18 December 2016

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      Author Tags

      1. SFM
      2. heritage data
      3. image inpainting
      4. temple texture

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      ICVGIP '16
      Sponsor:
      • QI
      • MathWorks
      • Microsoft Research

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      ICVGIP '16 Paper Acceptance Rate 95 of 286 submissions, 33%;
      Overall Acceptance Rate 95 of 286 submissions, 33%

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      Cited By

      View all
      • (2023)Tirtha - An Automated Platform to Crowdsource Images and Create 3D Models of Heritage SitesProceedings of the 28th International ACM Conference on 3D Web Technology10.1145/3611314.3615904(1-15)Online publication date: 9-Oct-2023
      • (2022)Language Model Based Related Word Prediction from an Indian Epic-Mahabharata2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)10.1109/IIHC55949.2022.10059974(1468-1474)Online publication date: 18-Nov-2022
      • (2022)Estimating Related Words Computationally Using Language Model from the Mahabharata an Indian EpicICT Analysis and Applications10.1007/978-981-19-5224-1_63(627-638)Online publication date: 6-Nov-2022
      • (2021)Architectural Jewels of LublinJournal on Computing and Cultural Heritage 10.1145/344697814:3(1-21)Online publication date: 1-Jul-2021
      • (2021)IHIRD: A Data Set for Indian Heritage Image RetrievalDigital Techniques for Heritage Presentation and Preservation10.1007/978-3-030-57907-4_4(51-73)Online publication date: 18-Mar-2021

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