Keep an Eye on Your Photos: Automatic Image Tagging on Mobile Devices

被引：3
作者：
Runge, Nina [1 ]
Wenig, Dirk [1 ]
Malaka, Rainer [1 ]
机构：
[1] Univ Bremen, Tzi, Bibliotheksstr 1, D-28359 Bremen, Germany
来源：
PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI'14) | 2014年
关键词：
Mobile Device; Recommendation; Machine Vision; Image Tagging; Automatic Tagging;
D O I：
10.1145/2628363.2634225
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present how to tag images automatically based on the image and sensor data from a mobile device. We developed a system that computes low-level tags using the image itself and meta data. Based on these tags and previous user tags we learn high-level tags. With a client-server-implementation we source out computational expensive algorithms to recommend the tags as fast as possible. We show what are the best feature extraction methods in combination with a machine learning technique to recommend good tags.
引用
收藏
页码：513 / 518
页数：6
相关论文
共 9 条
  • [1] Ahern S., 2006, P PERV IM CAPT SHAR
  • [2] [Anonymous], 2008, P 17 INT C WORLD WID
  • [3] [Anonymous], 2010, AB WORDN
  • [4] Bambha M., 2010, AUTOMATIC IMAGE TAGG, Patent No. 382/118
  • [5] Binti Zakaria L. Q., 2012, INT C INF APPL ICIA2, P91101
  • [6] Lee Y.-S., 2012, P 10 INT C ADV MOB C, P3946
  • [7] Leong CheeWee., 2010, International Conference on Computational Linguistics, P647
  • [8] Modeling the shape of the scene: A holistic representation of the spatial envelope
    Oliva, A
    Torralba, A
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2001, 42 (03) : 145 - 175
  • [9] Qin C., 2011, P 9 INT C MOB SYST A, P114
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