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Care to Share?: Learning to Rank Personal Photos for Public Sharing

Published: 02 February 2018 Publication History

Abstract

With mobile devices, users are taking ever-growing numbers of photos every day. These photos are uploaded to social sites such as Facebook and Flickr, often automatically. Yet, the portion of these uploaded photos being publicly shared is low, and on a constant decline. Deciding which photo to share takes considerable time and attention, and many users would rather forfeit the social interaction and engagement than sift through their piles of uploaded photos. In this paper, we introduce a novel task of recommending socially-engaging photos to their creators for public sharing. This will turn a tedious manual chore into a quick, software-assisted process. We provide extensive analysis over a large-scale dataset from the Flickr photo sharing website, which reveals some of the traits of photo sharing in such sites. Additionally, we present a ranking algorithm for the task that comprises three steps:(a) grouping of near-duplicate photos;(b) ranking the photos in each group by their "shareability"; and(c) ranking the groups by their likelihood to contain a shareable photo. A large-scale experiment allows us to evaluate our algorithm and show its benefits compared to competitive baselines and algorithmic alternatives.

References

[1]
Shane Ahern, Dean Eckles, Nathaniel S Good, Simon King, Mor Naaman, and Rahul Nair . 2007. Over-exposed?: privacy patterns and considerations in online and mobile photo sharing Proceedings of CHI. 357--366.
[2]
Morgan Ames, Dean Eckles, Mor Naaman, Mirjana Spasojevic, and Nancy Van House . 2010. Requirements for mobile photoware. Personal and Ubiquitous Computing Vol. 14, 2(2010), 95--109.
[3]
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, and Hsiao-Wuen Hon . 2006. Adapting ranking SVM to document retrieval. In Proceedings of SIGIR. 186--193.
[4]
David Carmel, Avihai Mejer, Yuval Pinter, and Idan Szpektor . 2014. Improving Term Weighting for Community Question Answering Search Using Syntactic Analysis Proceedings of CIKM. 351--360.
[5]
Andrea Ceroni, Vassilios Solachidis, Claudia Niederée, Olga Papadopoulou, Nattiya Kanhabua, and Vasileios Mezaris . 2015. To Keep or Not to Keep: An Expectation-oriented Photo Selection Method for Personal Photo Collections. In Proceedings of ICMR. 187--194.
[6]
Wei-Ta Chu and Chia-Hung Lin . 2008. Automatic selection of representative photo and smart thumbnailing using near-duplicate detection. In Proceedings of MM. 829--832.
[7]
Matthew Cooper, Jonathan Foote, Andreas Girgensohn, and Lynn Wilcox . 2005. Temporal event clustering for digital photo collections. ACM TOMM, Vol. 1, 3(2005), 269--288.
[8]
Koby Crammer, Alex Kulesza, and Mark Dredze . 2013. Adaptive Regularization of Weight Vectors. MLJ, Vol. 91, 2(2013), 155--187.
[9]
David Frohlich, Allan Kuchinsky, Celine Pering, Abbe Don, and Steven Ariss . 2002. Requirements for photoware. In Proceedings of CSCW. 166--175.
[10]
Pierre Garrigues, Sachin Farfade, Hamid Izadinia, Kofi Boakye, and Yannis Kalantidis . 2016. Tag Prediction at Flickr: a View from the Darkroom. arXiv preprint Vol. abs/1612.01922(2016).
[11]
Adrian Graham, Hector Garcia-Molina, Andreas Paepcke, and Terry Winograd . 2002. Time as essence for photo browsing through personal digital libraries Proceedings of JCDL. 326--335.
[12]
Esin Guldogan, Jari Kangas, and Moncef Gabbouj . 2013. Personalized representative image selection for shared photo albums Proceedings of ICCAT. 1--4.
[13]
Ido Guy, Inbal Ronen, Elad Kravi, and Maya Barnea . 2016. Increasing Activity in Enterprise Online Communities Using Content Recommendation. ACM Trans. Comput.-Hum. Interact. Vol. 23, 4(2016), 22:1--22:28.
[14]
Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H Witten . 2009. The WEKA data mining software: an update. ACM SIGKDD explorations newsletter Vol. 11, 1(2009), 10--18.
[15]
Alexandar Jaffe, Mor Naaman, Tamir Tassa, and Marc Davis . 2006. Generating Summaries and Visualization for Large Collections of Geo-referenced Photographs Proceedings of MIR. 89--98.
[16]
Hongzhi Li and Xian-Sheng Hua . 2010. Melog: Mobile Experience Sharing Through Automatic Multimedia Blogging Proceedings of MCMC. 19--24.
[17]
Jun Li, Joo Hwee Lim, and Qi Tian . 2003. Automatic summarization for personal digital photos Proceedings of ICICS-PCM, Vol. Vol. 3. 1536--1540.
[18]
Eden Litt and Eszter Hargittai . 2014. Smile, snap, and share? A nuanced approach to privacy and online photo-sharing. Poetics Vol. 42(2014), 1--21.
[19]
Andrew D Miller and W Keith Edwards . 2007. Give and take: a study of consumer photo-sharing culture and practice Proceedings of CHI. 347--356.
[20]
Mor Naaman, Yee Jiun Song, Andreas Paepcke, and Hector Garcia-Molina . 2004. Automatic organization for digital photographs with geographic coordinates Proceedings of JCDL. 53--62.
[21]
Pere Obrador, Rodrigo De Oliveira, and Nuria Oliver . 2010. Supporting personal photo storytelling for social albums Proceedings of MM. 561--570.
[22]
John C. Platt, Mary Czerwinski, and Brent A Field . 2003. PhotoTOC: Automatic clustering for browsing personal photographs Proceedings of ICICS-PCM. 6--10.
[23]
Fereshteh Sadeghi, J Rafael Tena, Ali Farhadi, and Leonid Sigal . 2015. Learning to select and order vacation photographs. Proceedings of WACV. 510--517.
[24]
Pinaki Sinha, Sharad Mehrotra, and Ramesh Jain . 2011. Summarization of Personal Photologs Using Multidimensional Content and Context Proceedings of ICMR. 4810--4819.
[25]
Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li . 2015. The New Data and New Challenges in Multimedia Research. CoRR Vol. abs/1503.01817(2015).
[26]
Sebastian Tschiatschek, Rishabh K Iyer, Haochen Wei, and Jeff A Bilmes . 2014. Learning Mixtures of Submodular Functions for Image Collection Summarization Proceedings of NIPS. 1413--1421.
[27]
Nancy Van House, Marc Davis, Morgan Ames, Megan Finn, and Vijay Viswanathan . 2005. The uses of personal networked digital imaging: an empirical study of cameraphone photos and sharing. In CHI extended abstracts. 1853--1856.
[28]
Yufei Wang, Zhe Lin, Xiaohui Shen, Radomir Mech, Gavin Miller, and Garrison W. Cottrell . 2016. Event-Specific Image Importance. In Proceedings of CVPR. 4810--4819.
[29]
Jianchao Yang, Jiebo Luo, Jie Yu, and Thomas S Huang . 2012. Photo stream alignment and summarization for collaborative photo collection and sharing. IEEE Transactions on Multimedia Vol. 14, 6(2012), 1642--1651.
[30]
Luming Zhang . 2016. Describing Human Aesthetic Perception by Deeply-learned Attributes from Flickr. CoRR Vol. abs/1605.07699(2016).

Cited By

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  • (2022)Learning Deep Representations via Contrastive Learning for Instance Retrieval2022 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI51031.2022.10022224(1501-1506)Online publication date: 4-Dec-2022
  • (2019)Learning With Average Precision: Training Image Retrieval With a Listwise Loss2019 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV.2019.00521(5106-5115)Online publication date: Oct-2019
  • (2018)Learning with sparse and biased feedback for personal searchProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304652.3304738(5219-5223)Online publication date: 13-Jul-2018

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cover image ACM Conferences
WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining
February 2018
821 pages
ISBN:9781450355810
DOI:10.1145/3159652
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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Published: 02 February 2018

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Author Tags

  1. content sharing
  2. flickr
  3. image ranking
  4. learning to rank
  5. photo sharing
  6. social recommender systems

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WSDM '18 Paper Acceptance Rate 81 of 514 submissions, 16%;
Overall Acceptance Rate 498 of 2,863 submissions, 17%

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View all
  • (2022)Learning Deep Representations via Contrastive Learning for Instance Retrieval2022 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI51031.2022.10022224(1501-1506)Online publication date: 4-Dec-2022
  • (2019)Learning With Average Precision: Training Image Retrieval With a Listwise Loss2019 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV.2019.00521(5106-5115)Online publication date: Oct-2019
  • (2018)Learning with sparse and biased feedback for personal searchProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304652.3304738(5219-5223)Online publication date: 13-Jul-2018

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