arXiv Open Access 2016

Deep Learning Based Semantic Video Indexing and Retrieval

Anna Podlesnaya Sergey Podlesnyy

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Abstrak

We share the implementation details and testing results for video retrieval system based exclusively on features extracted by convolutional neural networks. We show that deep learned features might serve as universal signature for semantic content of video useful in many search and retrieval tasks. We further show that graph-based storage structure for video index allows to efficiently retrieving the content with complicated spatial and temporal search queries.

Topik & Kata Kunci

cs.IR

Penulis (2)

Anna Podlesnaya

Sergey Podlesnyy

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APA MLA BibTeX

Podlesnaya, A., Podlesnyy, S. (2016). Deep Learning Based Semantic Video Indexing and Retrieval. https://arxiv.org/abs/1601.07754

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Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓