# Deep Learning Based Semantic Video Indexing and Retrieval

arXiv: https://arxiv.org/abs/1601.07754 · HTML: https://mlsanity.com/paper/1601.07754/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jan 2016.

## Built on by (most cited first, 2 of 2)

- [A Review of Deep Learning for Video Captioning](https://mlsanity.com/paper/2304.11431/) (2023)
- [STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval](https://mlsanity.com/paper/2208.06966/) (2022)

## Abstract (arXiv)

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.