Title | ||
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HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. |
Abstract | ||
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With emerging demand for large-scale video analysis, MPEG initiated the compact descriptor for video analysis (CDVA) standardization in 2014. Beyond handcrafted descriptors adopted by the current MPEG-CDVA reference model, we study the problem of deep learned global descriptors for video matching, localization, and retrieval. First, inspired by a recent invariance theory, we propose a nested invar... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TMM.2017.2713410 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Transform coding,Encoding,Feature extraction,Robustness,Standards,Visualization,Image coding | Reference model,Convolutional neural network,Computer science,Robustness (computer science),Artificial intelligence,Computer vision,Pattern recognition,Visualization,Pooling,Transform coding,Feature extraction,Machine learning,Encoding (memory) | Journal |
Volume | Issue | ISSN |
19 | 9 | 1520-9210 |
Citations | PageRank | References |
3 | 0.38 | 43 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Lin | 1 | 3495 | 502.80 |
Ling-yu Duan | 2 | 1770 | 124.87 |
Shiqi Wang | 3 | 1281 | 120.37 |
yan bai | 4 | 56 | 7.60 |
Lou Yihang | 5 | 75 | 9.57 |
Vijay Chandrasekhar | 6 | 191 | 22.83 |
Tiejun Huang | 7 | 1281 | 120.48 |
Alex ChiChung Kot | 8 | 335 | 27.20 |
Wen Gao | 9 | 11374 | 741.77 |