BOOK-CHAPTER

Content-based Video Retrieval Based on Similarity of Camera Motion

Abstract

This paper proposes a method for content-based sports video retrieval using camera work information. Since particular camera work for a typical scene exists in sports videos, camera work transition becomes an effective cue for retrieving a sports scene based on its content. The proposed method extracts a series of camera parameters from both a user-specified scene of a retrieval key and a video stream of a retrieval target, and detects scenes having content similar to that of the key from the target by applying continuous DP matching. The method was evaluated using a video stream of a baseball game. Recall-Precision curves make its effectiveness clear.

Keywords:
Computer science Computer vision Artificial intelligence Precision and recall Video retrieval Key (lock) Matching (statistics) Similarity (geometry) Motion (physics) Content (measure theory) Camera auto-calibration Image retrieval Camera resectioning Image (mathematics) Mathematics

Metrics

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FWCI (Field Weighted Citation Impact)
4
Refs
0.16
Citation Normalized Percentile
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Topics

Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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