By Alan Hanjalic
Content-Based research Of electronic Video specializes in primary matters underlying the improvement of content material entry mechanisms for electronic video. It treats themes which are severe to effectively automating the video content material extraction and retrieval strategies, and contains insurance of:- Video parsing,- Video content material indexing and representation,- Affective video content material analysis.In this good illustrated publication the writer integrates similar details at present scattered in the course of the literature and combines it with new rules right into a unified theoretical method of video content material research. the fabric additionally indicates rules for destiny research.Systems builders, researchers and scholars operating within the region of content-based research and retrieval of video and multimedia often will locate this booklet worthwhile.
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Extra resources for Content-based Analysis Of Digital Video
As shown in Figure 2-7, features can be used to model either the discriminative information or the discontinuities in the visual content flow. In the first case, a feature needs to show a temporal behavior in or around a shot boundary, which is clearly distinguishable from its behavior within a shot. 2 is a good example of such a feature. A feature that is to be used to compute the discontinuity values z(k) needs to be evaluated with respect to its capability to secure a sufficient separation of discontinuity value ranges and R.
In the training set) and, therefore, the probability that the shot will get any longer becomes close to zero. A slight adjustment of the cumulative probability model is required, however, in order to limit the influence of the prior information on the detection performance in the case of an unusually long shot. Namely, a false boundary may be found in such a shot when the CDF arrives into the value range close to 1. 5]. Then, in the limit case for the influence of the prior information is negligible as the probability of a shot boundary becomes close to 50%.
A binary detector decides about the presence of the boundary of one particular type only. If that boundary type is not found at the given time stamp, then the detector of another boundary type is activated. Figure 2-12. 29), linking the detectors as described above can also be beneficial for improving the total detection performance of the cascade, especially if different inter-frame skips are used per detector. We explain this on the example of two series of discontinuity values computed for the inter-frame skip l=1 and l=22, that are aligned in time as shown in Figure 2-13.