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Computational Theory will help determine the representations and algorithms that enable rich information to be extracted quickly from short image sequences.
Video-oculography images of the right and left eye (upper) and corresponding ocular alignment represented as gaze vector difference (lower plot, right eye gaze vector – left eye gaze vector) for a short image sequence.
In large-scale retrieval application, high-dimensional global image representations are often dimensionally reduced to short image representations by PCA, which can be further encoded in compact codes using binarization or product quantization techniques.
The data set used in our approach consists of short image streams of 12 subjects (three females and nine males), where each subject performed two different upper body movements separately.
In our approach, we focus on capturing short image stream samples of two kinds of upper body motion: a vertical motion of either the left or right arm. Figure 1 System overview.
On the other hand, using just histograms of the IF and IA, we can design effective content-based image retrieval systems using very short image feature vectors [8, 9].
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Mr. Bonomi just discards the atypical images when adding together the results of all the short images.
In short, images were acquired and analyzed using a Syndia algorithm on a Qwin-based analysis system (Leica, Cambridge, UK).
In short, images were acquired and analyzed using Syndia algorithm on a Qwin based analysis system (Leica, Cambridge, UK).
Imaging with a 5-cm shorter image length in the lung bases resulted in 55% dose reduction.
For each query, the system collects n database images X = (x 1, x 2,…, x n ) with the shortest image matching distance computed using Eq. (20).
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