1 February 2002 Video indexing using a high-performance and low-computation color-based opportunistic technique
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Optical Engineering, 41(2), (2002). doi:10.1117/1.1429233
Abstract
However, problems still remain in conveying this video data to the end users. Limiting factors are the resource capabilities in distributed architectures and the features of theals. The efficient use of image processing, video indexing, and analysis techniques can provide users with solutions or alternatives. We see the video stream as a sequence of correlated images containing in its structure temporal events such as camera editing effects and presents a new algorithm for achieving video segmentation, indexing, and key framing tasks. The algorithm is based on color histograms and uses a binary penetration technique. Although much has been done in this area, most work does not adequately consider the optimization of timing performance and processing storage. This is especially the case if the techniques are designed for use in run-time distributed environments. Our main contribution is to blend high performance and storage criteria with the need to achieve effective results. The algorithm exploits the temporal heuristic characteristic of the visual information within a video stream. It takes into consideration the issues of detecting false cuts and missing true cuts due to the movement of the camera, the optical flow of large objects, or both. We provide a discussion, together with results from experiments and from the implementation of our application, to show the merits of the new algorithm as compared to the existing one.
Mohamed Ahmed, Ahmed Karmouch, "Video indexing using a high-performance and low-computation color-based opportunistic technique," Optical Engineering 41(2), (1 February 2002). http://dx.doi.org/10.1117/1.1429233
JOURNAL ARTICLE
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KEYWORDS
Video

Cameras

Video processing

Binary data

Image segmentation

Detection and tracking algorithms

Optical engineering

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