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Building book inventories using smartphones

Published: 25 October 2010 Publication History

Abstract

Manual generation of a book inventory is time-consuming and tedious, while deployment of barcode and radio-frequency identification (RFID) management systems is costly and affordable only to large institutions. In this paper, we design and implement a mobile book recognition system for conveniently generating an inventory of books by snapping photos of a bookshelf with a smartphone. Since smartphones are becoming ubiquitous and affordable, our inventory management solution is cost-effective and very easy to deploy. Automatic and robust book recognition is achieved in our system using a combination of spine segmentation and bag-of-features image matching. At the same time, the location of each book is inferred from the smartphone's sensor readings, including accelerometer traces, digital compass measurements, and WiFi signatures. This location information is combined with the image recognition results to construct a location-aware book inventory. We demonstrate the effectiveness of our book spine recognition and location estimation techniques in recognition experiments and in an actual mobile book recognition system.

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Cited By

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  • (2024)An Accurate Book Spine Detection Network Based on Improved Oriented R-CNNSensors10.3390/s2424799624:24(7996)Online publication date: 14-Dec-2024
  • (2023)Libraries of Things: Understanding the Challenges of Sharing Tangible Collections and the Opportunities for HCIProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581094(1-18)Online publication date: 19-Apr-2023
  • (2022)Library on-shelf book segmentation and recognition based on deep visual featuresInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10310159:6Online publication date: 1-Nov-2022
  • Show More Cited By

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    cover image ACM Conferences
    MM '10: Proceedings of the 18th ACM international conference on Multimedia
    October 2010
    1836 pages
    ISBN:9781605589336
    DOI:10.1145/1873951
    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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    New York, NY, United States

    Publication History

    Published: 25 October 2010

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    Author Tags

    1. book spine recognition
    2. location tracking
    3. mobile visual search

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    MM '10
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    MM '10: ACM Multimedia Conference
    October 25 - 29, 2010
    Firenze, Italy

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2024)An Accurate Book Spine Detection Network Based on Improved Oriented R-CNNSensors10.3390/s2424799624:24(7996)Online publication date: 14-Dec-2024
    • (2023)Libraries of Things: Understanding the Challenges of Sharing Tangible Collections and the Opportunities for HCIProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581094(1-18)Online publication date: 19-Apr-2023
    • (2022)Library on-shelf book segmentation and recognition based on deep visual featuresInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10310159:6Online publication date: 1-Nov-2022
    • (2021)CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone CameraFrontiers in Artificial Intelligence10.3389/frai.2021.5431764Online publication date: 21-May-2021
    • (2021)On the Use of Handheld Augmented Reality for Inventory Tasks: A Study with Magazine RetailersHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85623-6_33(566-589)Online publication date: 26-Aug-2021
    • (2021)Developing a System for Automatic Detection of BooksSecond International Conference on Image Processing and Capsule Networks10.1007/978-3-030-84760-9_27(309-321)Online publication date: 10-Sep-2021
    • (2019)Text Detection on Books Using CNN Trained with Another Domain Data2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00041(170-176)Online publication date: Aug-2019
    • (2019)Extraction and Identification of Manipuri and Mizo Texts from Scene and Document ImagesPattern Recognition and Machine Intelligence10.1007/978-3-030-34869-4_44(405-414)Online publication date: 25-Nov-2019
    • (2018)A Ubiquitous Approach for Automated Library Book Location ManagementProceedings of the 2018 International Conference on Computing and Big Data10.1145/3277104.3277115(78-82)Online publication date: 8-Sep-2018
    • (2018)Recognizing Call Numbers for Library Books: The Problem and Issues2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00079(386-391)Online publication date: Dec-2018
    • Show More Cited By

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