Work

Approximate nearest neighbors for recognition of foreground and background in images and video

Year: 2010

Type: dissertation

Abstract: Problems in image matching, saliency detection in images, and background detection in video are studied. Algorithms based on approximate nearest-neighbor matching are proposed to solve problems in these related domains. Image patches are quantized into features using a special Walsh-Hadamard transform, and put into a propagation-assisted kd-tree for indexing and search. Image saliency and background-detection algorithms are then derived by looking at patch similarity over time and space.

Source: RIT Scholar Works (Rochester Institute of Technology)

Author: Josh Allmann

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1526797311

Cites: 23

Cited by:

Related to: 10