Knowledge Discovery from Community-Contributed Multimedia

This special issue presents a concise reference of state-of-the-art efforts in the attempts for knowledge discovery in large-scale community-contributed multimedia, and in particular the opportunities and challenges in this nascent arena. The guest editors have selected five articles that represent ways to exploit the user-contributed photos and videos for several applications and that identify the theoretical challenges associated with managing such multimedia data.

[1]  Wei-Ying Ma,et al.  Annotating Images by Mining Image Search Results , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Tao Mei,et al.  Correlative multi-label video annotation , 2007, ACM Multimedia.

[3]  Marcel Worring,et al.  Learning Social Tag Relevance by Neighbor Voting , 2009, IEEE Transactions on Multimedia.

[4]  Mark Sanderson,et al.  Automatic video tagging using content redundancy , 2009, SIGIR.

[5]  Tao Mei,et al.  Automatic Video Genre Categorization using Hierarchical SVM , 2006, 2006 International Conference on Image Processing.

[6]  Zi Huang,et al.  UQLIPS: A Real-time Near-duplicate Video Clip Detection System , 2007, VLDB.

[7]  Antonio Torralba,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition , 2022 .

[8]  Diane J. Cook,et al.  Automatic Video Classification: A Survey of the Literature , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[9]  Paul M. B. Vitányi,et al.  The Google Similarity Distance , 2004, IEEE Transactions on Knowledge and Data Engineering.

[10]  B. S. Manjunath,et al.  Video Annotation Through Search and Graph Reinforcement Mining , 2010, IEEE Transactions on Multimedia.