### Abstract

Most image analysis/understanding applications require accurate computation of camera motion parameters. However, in multimedia applications, particularly in video parsing, the exact camera motion parameters such as the panning and/or zooming rates are not needed. The detection-i.e., a binary decision-of camera motion is all that is required to avoid declaring a false scene change. As camera motions can induce false scene changes for video parsing algorithms, we propose a fast algorithm to detect such camera motions: camera zoom and pan. As the algorithm is only expected produce a binary decision, without the exact panning/zooming rates, the proposed algorithm runs on a reduced data set, namely the projection data. The algorithm begins with a central portion of the image and computes the projection data (or the line integrals along the x- or y- axis) to turn the 2-D image data into a 1-D data. This projected 1-D data is further processed via correlation processing to detect camera zoom and pan. Working with projection data saves processing time by an order of magnitude, since for instance, a 2-D correlation takes N^{2} multiplies per point, however a 1-D correlation takes N multiplies per point. The efficacy of the proposed algorithm is tested for a number of image sequences and the algorithm is shown to be successful in detecting camera motions. The proposed algorithm is expected to be beneficial for video parsers working with Motion-JPEG data stream where motion vectors are not available.

Original language | English |
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Pages (from-to) | 78-87 |

Number of pages | 10 |

Journal | Proceedings of SPIE - The International Society for Optical Engineering |

Volume | 3303 |

DOIs | |

Publication status | Published - 1998 |

Event | Real-Time Imaging III - San Jose, CA, United States Duration: 1998 Jan 26 → 1998 Jan 26 |

### Keywords

- Camera motion detection
- Scene change detection
- Video library
- Video parser

### ASJC Scopus subject areas

- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering

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## Cite this

*Proceedings of SPIE - The International Society for Optical Engineering*,

*3303*, 78-87. https://doi.org/10.1117/12.302417