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Advanced Image and Video Retrieval Techniques

Advanced Image and Video Retrieval Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 65k research works in it since 1958. 9.7% of them reached the world's top 10% most cited for their field and year.

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.

  • Local Descriptors
  • Feature Matching
  • Object Recognition
  • Image Retrieval
  • Deep Learning
  • Binary Codes
  • Scene Classification
  • Interest Point Detectors
  • Bag-of-Features
  • Cross-Modal Retrieval
Research works
65k
fractional, since 1958
In the world top 10%
6.2k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+14%
the tick is no change
Largest producer
China
67% of the 10 largest, 2022-now
Advanced Image and Video Retrieval Techniques
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