Few-Shot Adaptation for Multimedia Semantic Indexing-Reference-Cited by-同舟云学术

Few-Shot Adaptation for Multimedia Semantic Indexing

Published:2018-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM international conference on Multimedia
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Author:

Inoue Nakamasa¹,Shinoda Koichi¹

Affiliation:

1. Tokyo Institute of Technology, Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240508.3240592

Reference73 articles.

1. Multimodal Video Indexing: A Review of the State-of-the-art

2. [Invited Paper] TRECVid Semantic Indexing of Video: A 6-Year Retrospective

3. B. Zhao etal %Hierarchical Recurrent Neural Network for Video Summarization. ACM Multimedia pp. 863--871 2017. 10.1145/3123266.3123328 B. Zhao et al. %Hierarchical Recurrent Neural Network for Video Summarization. ACM Multimedia pp. 863--871 2017. 10.1145/3123266.3123328

4. Near-lossless semantic video summarization and its applications to video analysis

5. Evaluation of Low-Level Features for Real-World Surveillance Event Detection

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