Name
Abstract | ||
|---|---|---|
This paper presents the IMOTION system in its third version. While still focusing on sketch-based retrieval, we improved upon the semantic retrieval capabilities introduced in the previous version by adding more detectors and improving the interface for semantic query specification. In addition to previous year's system, we increase the role of features obtained from Deep Neural Networks in three areas: semantic class labels for more entry-level concepts, hidden layer activation vectors for query-by-example and 2D semantic similarity results display. The new graph-based result navigation interface further enriches the system's browsing capabilities. The updated database storage system ADAM(pro) designed from the ground up for large scale multimedia applications ensures the scalability to steadily growing collections. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-51814-5_43 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Semantic similarity,Graph,Information retrieval,Computer science,Semantic query,Database storage structures,Deep neural networks,Sketch,Scalability | Conference | 10133 |
ISSN | Citations | PageRank |
0302-9743 | 10 | 0.66 |
References | Authors | |
13 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Rossetto | 1 | 92 | 21.00 |
| Ivan Giangreco | 2 | 93 | 11.64 |
| Claudiu Tanase | 3 | 31 | 6.05 |
| H. Schuldt | 4 | 98 | 20.60 |
| Stéphane Dupont | 5 | 134 | 26.78 |
| Omar Seddati | 6 | 67 | 6.78 |