# Advanced Image and Video Retrieval Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,657,455 |
| Description | This cluster of papers focuses on the development and evaluation of techniques for extracting, matching, and utilizing local image features for tasks such as object recognition, image retrieval, and scene classification. It covers a wide range of methods including local descriptors, deep learning approaches, binary codes, and cross-modal retrieval techniques. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T10627 |
| Works | 120,125 |

## Topic researchers

Showing 12 of 20.

- [Kaiming He](https://scholariq.org/researchers/kaiming-he/)
- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Shaoqing Ren](https://scholariq.org/researchers/shaoqing-ren/)
- [Ross Girshick](https://scholariq.org/researchers/ross-girshick/)
- [Xiangyu Zhang](https://scholariq.org/researchers/xiangyu-zhang/)
- [Karl Friston](https://scholariq.org/researchers/karl-friston/)
- [Jian Sun](https://scholariq.org/researchers/jian-sun-2/)
- [Andrew Zisserman](https://scholariq.org/researchers/andrew-zisserman/)
- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Vladimir Vapnik](https://scholariq.org/researchers/vladimir-vapnik/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.