(For some purposes, such as information retrieval, identifying labels of documents may be used as occurrence contexts).
Through careful distinctions among various occurrence contexts, it may also be possible to factor similarity into more specific relations such as synonymy, entailment, and antonymy.
In addition, it allows to define a patch co-occurrence context of an image as a simple histogram, which can be further analyzed with an aspect model formulation.
By integrating co-occurrence context information, we further propose a rotation invariant co-occurrence WLTP (RICWLTP) approach to be more discriminant for image representation.
(2) The interpretation of a particular patch depends on what the other patches in the same image are, and this co-occurrence context is precisely captured by the estimated aspect mixture weights.
Our implementations of WLD histograms with different parameters [36] can also give comparable performances with that by SPLF on PFID dataset, and our proposed strategy with data-driven quantization and co-occurrence context then can increase the recognition rate 28.2% with SPLF [39] to more than 36% about 8% improvement.
From Fig. 3, we observe that our proposed data-driven quantized versions (i.e., WLTP and RICWLTP) results in much better performance than that (i.e., LTP and RICLTP) with an absolute threshold, regardless of the magnitude of the focused pixel; the best recognition result was achieved by the proposed framework with data-driven quantization and co-occurrence context.
Figure 4 gives the comparative recognition accuracies with our proposed frameworks and other state-of-the-art approaches [35 37, 40 42] on both Brodatz32 and KTH-TIP 2a datasets; the best results were achieved using our proposed approach with data-driven quantization and co-occurrence context.
Therefore, in this study, we design LTP with a data-driven threshold according to Weber's law, a human perception principle; further, our approach incorporates the contexts of spatial and orientation co-occurrences (i.e., co-occurrence context) among adjacent Weber-based local ternary patterns (WLTPs, i.e., data-driven quantized LTPs) for texture representation.
Because I was too busy, I have not had time to write down my truth of the occurrence, the context from my point of view.
I collected data with a microcassette recorder, noting the exact time (to the nearest second) of each gestural onset and offset, as well as each related behavioral occurrence and context.
