Flickr-tag prediction using multi-modal fusion and meta information

MM 2013 - Proceedings of the 2013 ACM Multimedia Conference

Volumn , Issue , 2013, Pages 353-356

  Su, Yu Chuan ^a   Chiu, Tzu Hsuan ^a   Wu, Guan Long ^a   Yeh, Chun Yen ^a   Wu, Felix ^a   Hsu, Winston H ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Concept bank; Meta data; Multi features fusion

Indexed keywords

ACCURATE PREDICTION; BETTER PERFORMANCE; CLASSIFICATION MODELS; CONCEPT BANK; EVALUATION AND ANALYSIS; LINEAR CLASSIFICATION; MID-LEVEL FEATURES; MULTI-FEATURES FUSIONS;

METADATA;

IMAGE CLASSIFICATION;

EID: 84887489962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2502081.2508117     Document Type: Conference Paper

References (9)

1. A. Berg et al. Large scale visual recognition challenge 2010, 2010.
2. J. Deng et al. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
3. J. Deng et al. What does classifying more than 10, 000 image categories tell us? In ECCV, 2010.
4. R.-E. Fan et al. LIBLINEAR: A library for large linear classification. JMLR, 9, 2008.
5. H. Jégou et al. Aggregating local descriptors into a compact image representation. In CVPR, 2010.
6. L.-J. Li et al. Object bank: A high-level image representation for scene classification and semantic feature sparsification. In NIPS, 2010.
7. F. Perronnin et al. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
8. J. Wang et al. Locality-constrained linear coding for image classification. In CVPR, 2010.
9. H.-F. Yu et al. Large linear classification when data cannot fit in memory. In KDD, 2012.