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If changes are detected, we need to check whether the extracted object belongs to the moving objects.
Since the segmentation is performed for arbitrary viewpoints directly, the extracted object can be superimposed onto another 3D scene with geometric consistency.
The correlation score in the depth direction (direction where the Doppler effect is visible) gives the global coherence of the extracted object and so its own Doppler velocity.
As can be seen from Figure 4 q - t), our model has effectively extracted object boundaries from the non-uniform and noisy background.
Detection algorithm transfers the captured images into a pair of pixel points standing for the extracted object positions (x l, y l ) and (x r, y r ).
The source image data obtained after stICA analysis are further processed using wavelet-based multiscale image segmentation and region detection techniques to improve the accuracy of the extracted object.
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Another point of difference is that while other approaches either employed audio as a preprocessing for video detection or subsequently used video features to verify the extracted objects, our approach considers solely audio features for audio podcast advertisement extraction.
Next, a spatial network is created where the nodes correspond to the centroids of the extracted objects and the edges connect neighboring objects lying within a prefixed Euclidean distance from each other.
In this article, however, for simplicity consideration, the information to be extracted only includes the keywords and the terms, which are already the representatives of extracted objects preliminary RDF diagram.
In the feature extraction step, we extract object features such as the color, texture, and shape.
Comparative experiments demonstrate that the proposed edge detection algorithm can extract object boundaries and inhibit non-boundary edges caused by textures on object surfaces.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com