Maybe by this time next year, AOL Time Warner will project a properly holistic image; and maybe Internet analysts will be a memory.
To reveal the tag locality, Bao et al. [8] introduced hidden concepts for decomposing holistic image representation into tag representations.
To tackle the tag locality problem, one may employ local image features instead of holistic image features to describe the visual contents of a certain tag.
In accordance with this holistic image of the landscape the manifestation of these special elements and visual functions is reflective of the natural and cultural coherence and beauty of long functioning natural and cultivated landscape systems.
Section 3 presents the proposed method in which contrast and direction information of LBP are considered, and shape and space information of the holistic image obtained by Zernike moments are fused during the course of feature extraction.
In addition, Zernike moments are fused into the improved LBP texture features when representing images because they can effectively describe shape and space information of the holistic image, are possessed of orthogonal and rotation invariant properties, and can be easily and rapidly calculated to an arbitrary high order.
While successful identification of individual exemplars depends on holistic image-based representations, classification of objects can be accomplished by a comparison of image parts or features (see [41] for a review of computational approaches).
Similarly, creating a structural description is thought to require time and visual attention; according to Hummel [23], when there is insufficient time, or when attention is directed elsewhere, recognition is mediated by holistic image-based representations in which shape features are inherently linked to their spatial locations in the image and, hence, to the orientation of the object.
Meanwhile, we utilize holistic pedestrian images to train body-based feature learning model and predict the identities of the input images.
