Low Level Features
Machine Learning based Traffic Classification using Low Level Features and Statistical Analysis
... using Low Level Features and Statistical Analysis” which indicates the implementation of suitable machine learning algorithm in the field of network ...through low interaction honeypots, data ...
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Categorization and Reorientation of Images Based on Low Level Features
... In this paper, we have proposed the digital content man- agement solution which is computationally less complex to result high time performance over embedded system and having better accuracy for categorization and ...
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Combining Low-Level Features for Semantic Extraction in Image Retrieval
... different low-level ...erent low-level image descriptions is motivated by the fact that single low-level descriptors are not suitable for interpreting human understanding into ...
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Snatch Theft Detection using Low Level Features
... of low level features is seemed to be more effective to identify the abnormality ...the features extracted from the computation of optical flow for sequence of video ...
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Implied motion activation in cortical area MT can be explained by visual low level features
... In Experiment 1, stimuli were color human or monkey fig- ures implying motion facing left or right (Figure 1A and D) and standing or sitting facing forward (Figure 1C and F). In addition, images of bars that did not ...
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Selecting Low-level Features for Image Quality Assessment by Statistical Methods
... these models perform so badly on IVC, while they give quite good results on LIVE. The SSIM index combines these same five features. We tried to combine these features with polynomi- als of order 1 or 2 ( ...
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An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features
... of low level visual features is proposed in the literature that are associated with different applications of CBIR [11] ...The low-level visual features are divided into two main ...
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A review of low level visual features for a content based medical image retrieval system
... visual low level features like shape, color and ...texture features based image retrieval in ...visual features. These features plays important role in CBMIR ...shape ...
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Fusion of Global Shape and Local Features Using Boosting for Object Class Recognition
... of features in one feature pool and homogenous classifiers are used to train those features iteratively in ...the low level features used on those works are ...local features, ...
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Title: A Survey on Face Matching and Retrieval of Images
... the low-level feature space. By combining low- level features with high-level human attributes, we are able to find better feature representations and achieve better retrieval ...
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A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image
... of low-level and high- level ...of low- level features in different regions of the image is considered for saliency region ...of low-level ...Then, low- ...
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A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections
... G. Evangelopoulos, A. Zlatintsi, A. Potamianos, P. Maragos, K. Rapantzikos, G. Skoumas, and Y. Avrithis, proposes multimodal saliency representations of audiovisual streams [5], in which signal (audio and visual) and ...
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Watching you watch movies: using eye tracking to inform film theory
... visual features and viewer gaze ...visual features such as brightness, color, edges, etc, and quantify their relationship to fixation ...basic features in space and time computational algorithms can ...
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Hyper Graph Attribute Model for Web Image Search
... salient features discovered using graph analysis is very powerful to improve the effectiveness of rank ...integrating low-level features and attribute ...
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Does narrative drive dynamic attention to a prolonged stimulus?
... the low-level features and high-level properties on attentional ...the features for all four conditions was able to predict a large proportion of the variance (roughly a quarter) in the ...
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Retrieval of Monuments Images Through ACO Optimization Approach
... on low level features of image. Low level features used are shape, texture and ...Moments. Low level features are extracted then ACO is used for feature ...
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Face Image Retrieval Using Pose Specific Set Sparse Feature Representation
... use low-level features to represent faces, but low-level features are lack of semantic meanings and face images usually have high intra-class variance ...extracting ...
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Hierarchical level features based trainable segmentation for electron microscopy images
... Low level features extraction (pixel-based features extraction) Most of pixel fea- tures are provided by Fiji with default parameters ...pixel features is as following: (1) ...
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Space Plant Image Segmentation via Multi Scale Deep Feature Fusion
... of features, and a skip architecture hierarchically fuses high-level to low-level features extracted by a deep layer, a middle layer and a shallow layer to recognize plant on the pixel ...
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Fake Fingerprint Detection Approaches: A Systematic Review
... clarity features, consistency of recurrence field and Gabor features includes by edge (ridge) continuity features within conclusion edge recurrence, differentiate guide, and Direction map for edge ...
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