Additional Remarks on Designing Category-Level Attributes for Discriminative Visual Recognition
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This is the supplementary material for Designing Category-Level Attributes for Discriminative Visual Recognition [3]. We rst provide an overview of the proposed approach in Section 1. The proof of the theorem is shown in Section 2. Additional remarks of the proposed attribute design algorithm are provided in Section 3. We show additional experiments and applications of the designed attributes for zero-shot learning and video event modeling in Section 4. Finally, we discuss the semantic aspects of automatic attribute design in Section 5. All the gures in this technical report are best viewed in color.
[1] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Shih-Fu Chang,et al. Designing Category-Level Attributes for Discriminative Visual Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Daniel P. W. Ellis,et al. IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems , 2012, TRECVID.