skip to main content
10.1145/1816123.1816151acmconferencesArticle/Chapter ViewAbstractPublication PagesjcdlConference Proceedingsconference-collections
research-article

Flexible access to photo libraries via time, place, tags, and visual features

Published: 21 June 2010 Publication History

Abstract

Photo libraries are growing in quantity and size, requiring better support for locating desired photographs. MediaGLOW is an interactive visual workspace designed to address this concern. It uses attributes such as visual appearance, GPS locations, user-assigned tags, and dates to filter and group photos. An automatic layout algorithm positions photos with similar attributes near each other to support users in serendipitously finding multiple relevant photos. In addition, the system can explicitly select photos similar to specified photos. We conducted a user evaluation to determine the benefit provided by similarity layout and the relative advantages offered by the different layout similarity criteria and attribute filters. Study participants had to locate photos matching probe statements. In some tasks, participants were restricted to a single layout similarity criterion and filter option. Participants used multiple attributes to filter photos. Layout by similarity without additional filters turned out to be one of the most used strategies and was especially beneficial for geographical similarity. Lastly, the relative appropriateness of the single similarity criterion to the probe significantly affected retrieval performance.

References

[1]
Adobe Photoshop Elements. http://www.adobe.com
[2]
Bederson, B.B. (2001). PhotoMesa: A Zoomable Image Browser Using Quantum Treemaps and Bubblemaps. Proc. ACM UIST '01, pp. 71--80.
[3]
Borg, I., Groenen, P. (2005). Modern Multidimensional Scaling: theory and applications (2nd ed.), New York: Springer.
[4]
Chang, M., Leggett, J., Furuta, R., Kerne, A., Williams, J.P., Burns, S., Bias, R. (2004). Collection Understanding, Proc. JCDL '04, pp. 334--342.
[5]
Cutting, D., Karger, D., Pedersen, J., Tukey, J. (1992). Scatter/Gather: a cluster-based approach to browsing large document collections. Proc. ACM SIGIR '92, pp. 318--329.
[6]
Donath, J.S. (1995). Visual Who: Animating the Affinitiese and Activities of an Electronic Community. Proc. ACM Multimedia '95, pp. 99--107.
[7]
Dontcheva M., Agrawala M., Cohen M. (2005). Metadata Visualization for Image Browsing. UIST '05 Demonstration.
[8]
Drucker, S. M., Wong, C., Roseway, A., Glenner, S., De Mar, S. (2004). MediaBrowser: reclaiming the shoebox. Proc. Advanced Visual Interfaces '04, pp. 433--436.
[9]
Flickr. http://www.flickr.com/
[10]
Fogarty, J., Tan, D., Kapoor, A., Winder, S. (2008). CueFlik: Interactive Concept Learning in Image Search. Proc. ACM CHI '08, pp. 29--38.
[11]
1Girgensohn, A., Adcock, J., Cooper, M., Foote, J., Wilcox, L. (2003). Simplifying the Management of Large Photo Collections. Proc. INTERACT '03, pp. 196--203.
[12]
Girgensohn, A., Shipman, F., Wilcox, L., Turner, T., Cooper, M. (2009). MediaGLOW: Organizing Photos in a Graph-based Workspace. Proc. IUI '09, pp. 419--424.
[13]
Hilliges, O., Baur. D, Butz, A. (2007). Photohelix: Browsing, Sorting and Sharing Digital Photo Collections. TABLETOP '07, pp. 87--94.
[14]
Huynh, D., Drucker, S., Baudisch, P., Wong, C. (2005). Time Quilt: Scaling up Zoomable Photo Browsers for Large, Unstructured Photo Collections. CHI '05 Extended Abstracts, pp. 1937--1940.
[15]
iPhoto. http://www.apple.com/photo
[16]
Jaffe, A., Naaman, M., Tassa, T., Davis, M. (2006). Generating Summaries for Large Collections of Geo-Referenced Photographs. Proc. Multimedia Information Retrieval, 853--854.
[17]
Kandel, S., Paepcke, A., Theobald, M., Garcia-Molina, H., Abelson, E. (2008). Photospread: a spreadsheet for managing photos. Proc. ACM CHI '08, pp. 1749--1758.
[18]
Kirk, D., Sellen, A., Rother, C., Wood, K. (2006). Understanding Photowork. Proc. ACM CHI '06, pp. 761--770.
[19]
Kohonen, T. (2001). Self-Organizing Maps. Berlin: Springer.
[20]
Kullback, S. (1987). The Kullback-Leibler distance. The American Statistician 41, pp. 340--341.
[21]
2Miller, A., Edwards, W.K. (2007). Give and Take: A Study of Consumer Photo-Sharing Culture and Practice. Proc. ACM CHI '07, pp. 347--356.
[22]
2Mills, T., Pye, D., Sinclair, D., Wood, K. (2000). Shoebox: A digital photo management system. Technical Report 2000.10. AT&T Laboratories Cambridge, UK.
[23]
Naaman, M., Harada, S., Wang, Q., Garcia-Molina, H., Paepcke, A. (2004). Context Data in GeoReferenced Digital Photo Collections. Proc. ACM Multimedia 2004, pp. 196--203.
[24]
Olsen, K.A., Korfhage, R.R., Sochats, K.M., Spring, M.B., Williams, J.G. (1993). Visualization of a Document Collection: the VIBE System, Information Processing & Management, 29(1), pp. 69--82.
[25]
Picassa. http://www.picassa.net
[26]
Platt, J.C., Czerwinski, M., Field, B.A. (2003). PhotoTOC: automatic clustering for browsing personal photographs. Information, Communications and Signal Processing, 6--10.
[27]
Rodden, K., Basalaj, W., Sinclair, D., Wood, K. (2001). Does Organisation by Similarity Assist Image Browsing? Proc. ACM CHI '01, pp. 190--197.
[28]
de Rooij, O., Snoek, C.G.M., Worring, M. (2008). Balancing Thread Based Navigation for Targeted Video Search. Conference On Image And Video Retrieval, pp. 485--494.
[29]
Satpathy, L., Kamppari, S., Lewis, B., Rhee, Y.W., Elgart, B., Prasad, A., Drucker, S. (2008). Pixaura: Supporting Tentative Decision Making when Selecting and Sharing Digital Photos. Proc. HCI '08, pp. 87--91.
[30]
Shneiderman, B., Kang, H. (2000). Direct Annotation: A Drag-and-Drop Strategy for Labeling Photos. Proc. Int. Conf. Information Visualisation (IV2000), pp. 88--95.
[31]
Toyama, K., Logan, R., Roseway, A. (2003). Geographic Location Tags on Digital Images. Proc. ACM Multimedia 2003, pp. 156--166.
[32]
Yee, P., Swearingen, K., Li, K., Hearst, M. (2003). Faceted Metadata for Image Search and Browsing. Proc. ACM CHI '03, pp. 401--408.

Cited By

View all
  • (2023)An Underdeveloped Metaphor: The Mismatched Designs and Motivations of Digital Picture InteractionsACM Transactions on Computer-Human Interaction10.1145/356988730:2(1-36)Online publication date: 17-Mar-2023
  • (2016)Multimedia Pivot Tables for Multimedia Analytics on Image CollectionsIEEE Transactions on Multimedia10.1109/TMM.2016.261438018:11(2217-2227)Online publication date: 1-Nov-2016
  • (2015)Insight in Image Collections by Multimedia Pivot TablesProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749312(291-298)Online publication date: 22-Jun-2015
  • Show More Cited By

Index Terms

  1. Flexible access to photo libraries via time, place, tags, and visual features

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      JCDL '10: Proceedings of the 10th annual joint conference on Digital libraries
      June 2010
      424 pages
      ISBN:9781450300858
      DOI:10.1145/1816123
      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]

      Sponsors

      In-Cooperation

      • IEEE CS

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 21 June 2010

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. geographic data
      2. photo libraries
      3. photo retrieval
      4. similarity criteria
      5. tagged photos
      6. visual similarity

      Qualifiers

      • Research-article

      Conference

      JCDL10
      Sponsor:
      JCDL10: Joint Conference on Digital Libraries
      June 21 - 25, 2010
      Queensland, Gold Coast, Australia

      Acceptance Rates

      Overall Acceptance Rate 415 of 1,482 submissions, 28%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)9
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 19 Feb 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2023)An Underdeveloped Metaphor: The Mismatched Designs and Motivations of Digital Picture InteractionsACM Transactions on Computer-Human Interaction10.1145/356988730:2(1-36)Online publication date: 17-Mar-2023
      • (2016)Multimedia Pivot Tables for Multimedia Analytics on Image CollectionsIEEE Transactions on Multimedia10.1109/TMM.2016.261438018:11(2217-2227)Online publication date: 1-Nov-2016
      • (2015)Insight in Image Collections by Multimedia Pivot TablesProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749312(291-298)Online publication date: 22-Jun-2015
      • (2015)A Multi-Dimensional Data Model for Personal Photo BrowsingMultiMedia Modeling10.1007/978-3-319-14442-9_41(345-356)Online publication date: 2015
      • (2014)Understanding Collections and Their Implicit Structures through Information VisualizationInnovative Approaches of Data Visualization and Visual Analytics10.4018/978-1-4666-4309-3.ch008(151-175)Online publication date: 2014
      • (2013)[Paper] Novel Evaluation Criterion for Visualization of Image Search Results Based on Feature Integration TheoryITE Transactions on Media Technology and Applications10.3169/mta.1.3331:4(333-342)Online publication date: 2013
      • (2012)How do people organize their photos in each event and how does it affect storytelling, searching and interpretation tasks?Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries10.1145/2232817.2232875(315-324)Online publication date: 10-Jun-2012

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media