Abstract
ORAND S.A. is a Chilean company focused on developing applied research in Computer Science. This report describes the participation of the ORAND team at Instance Search (INS) and Video Hyperlinking (LNK) tasks in TRECVID 2015. The INS participation consisted in four submissions to automatic detection. All the submissions used the four samples for each topic without using video queries (type A). We tested different score propagation algorithms where the based on low-level features achieved best performance. The LNK participation consisted in four submissions. The submissions considering low-level features (color histogram, edges histogram and acoustic energies) outperformed the semantic descriptors (concepts and captions).
Original language | English |
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State | Published - 2020 |
Externally published | Yes |
Event | 2015 TREC Video Retrieval Evaluation, TRECVID 2015 - Gaithersburg, United States Duration: 16 Nov 2015 → 18 Nov 2015 |
Conference
Conference | 2015 TREC Video Retrieval Evaluation, TRECVID 2015 |
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Country/Territory | United States |
City | Gaithersburg |
Period | 16/11/15 → 18/11/15 |
Bibliographical note
Publisher Copyright:© 2015 TRECVID.