نتایج جستجو برای: image selection
تعداد نتایج: 682103 فیلتر نتایج به سال:
Visual lifelogging is a new concept of recording one’s daily life by using wearable camera to automatically capture images of one’s surroundings. Keyframe selection is a crucial process for summarizing lifelog image sequences. In the visual lifelog domain, images are passively captured in predefined time intervals, e.g. one image every 30 seconds. This results in variable visual quality in the ...
To estimate geometrically regular images in the white noise model and obtain an adaptive near asymptotic minimaxity result, we consider a model selection based bandlet estimator. This bandlet estimator combines the best basis selection behaviour of the model selection and the approximation properties of the bandlet dictionary. We derive its near asymptotic minimaxity for geometrically regular i...
Classification technology is essential for fast retrieval in large database. This paper proposes a combining GA and SVM model to content-based image retrieval. The proposed method is also used to classification similar images from database. Joint HSV histogram and average entropy computed from gray-level co-occurrence matrices in the localized image region is employed as input vectors. Genetic ...
We present a method for automatically selecting the best filter to treat poor quality printed documents using image quality assessment. We introduce five quality measures to obtain information about the quality of the images, and morphological filters to improve their quality. A training set of 370 images was used to develop the system. Experimental results on the test set show a significant im...
The Joint Photographic Experts Group's image compression algorithm has been shown to be a very efficient and powerful method of compressing images. However, there is litde substantive information about which color space should be utilized when implementing the JPEG algorithm. Currendy, the JPEG algorithm is set up for use with any three component color space. The objective of this research was ...
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we present a novel image annotation scheme which is fast and effective and scales well to a large number of keywords. We first provide a feature weighting scheme suitable for image annotation, and then an annotation model...
In this paper feature extraction process is analyzed and a new set of edge features is proposed. A revised edge-based structural feature extraction approach is introduced. A principle feature selection algorithm is also proposed for new feature analysis and feature selection. The results of the PFA is tested and compared to the original feature set, random selections, as well as those from Prin...
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of features, e.g. colorand texture features on different scales and/or different orientations, is to simply stack all the individual measurements into one high-dimensional feature vector. Due to the nature of such stacked...
Digital publishing workflows usually have the need for composition and balance within the document, where certain photographs will have to be chosen according to the overall layout of the document it is going to be placed in. i.e., the composition within the photograph will have a relationship/balance with the rest of the document layout. This paper presents a novel image retrieval method, in w...
Not all tags are relevant to an image, and the number of relevant tags is image-dependent. Although many methods have been proposed for image auto-annotation, the question of how to determine the number of tags to be selected per image remains open. The main challenge is that for a large tag vocabulary, there is often a lack of ground truth data for acquiring optimal cutoff thresholds per tag. ...
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