model-based visual features
An Image reranking model based on attributes and visual features eliminating duplication
... text based image ...different features. This paper considers both the textual features as well as visual features for ...groups. Based on those attributes from classifiers and ...
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Incorporating visual features into word embeddings: A bimodal autoencoder based approach
... autoencoder model for incorporating visual features into existing word ...more features, such as POS, semantic class, and abstractness/correctness (Kiela et ...effective features in ...
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Horror image recognition based on context aware multi instance learning
... novel visual saliency map model based on tensor reconstruction that can combine several emotion cues ...proposed model, we represent an image in the color emotion space [42] and organize it as ...
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Advances in Visibility Modelling in Urban Environments to Support Location Based Services
... to model the visibility of a landmark across ...of visual exposure presented by Llobera (2003) by modelling the field of view occupied by a landmark from any surrounding ...landmark visual ...
217
Content Based Image Retrieval : Survey and Comparison between RGB and HSV model
... databases based on their visual content. Visual content is typically defined by a set of low level features extracted from an image that describe the color, texture and/or shape of the entire ...
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Multi camera visual saliency using image stitching
... with visual saliency ...The visual saliency capability offered by this multi camera model allows generic detection of conspicuous objects be it human or non- human based on simple low level ...
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A Robust Visual Tracking Method through Deep Learning Features
... learning features are used instead of HoG features and color ...as features then reshaped into 1-dimensional W*H*D vectors for each ...filter based scale tracker is trained to predict the best ...
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Information fusion of text and visual features for multi-modality medical information retrieval / Hizmawati Madzin
... statistical model, both probability and vector space models are better at this task because they rank retrieved documents according to the number of occurrences of semantic closeness term to the original query and ...
274
Hyper Graph Attribute Model for Web Image Search
... by visual closeness. In classification visual reranking is formulated as binary classification problem aiming to identify whether each search result is relevant or ...Graph based methods have been ...
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Modeling for part-based visual object detection based on local features
... object model to the detected part locations in the image and calculating the deviation from a rigid-body ...resulting model deviations to the ground truth, we derive a threshold for every combination of ...
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COMPARATIVE ANALYSIS OF RERANKING TECHNIQUES FOR WEB IMAGE SEARCH
... mostly based on text and constrained due to user search by keyword which results into ambiguity among ...existing visual reranking schemes improve text-based search results by making the use of ...
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Artistic Content Representation and Modelling based on Visual Style Features
... The final artist-driven modelling system worth analysing is Just DrawIt: a 3D sketching system, by Grimm & Joshi [71]. This is another multi-view sketch system that lets users sketch curves in 3D based upon 2D ...
217
Research on the Top down Visual Attention Method with Unknown Interference Target
... salient features extraction of visual attention, which use low-pass filtering to highlight the salient signal with the amplitude spectrum of methods ...bottom-up features extracting through ...
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Outdoor view recognition based on landmark grouping and logistic regression
... and visual saliency. In this context, landmarks are the visual elements that are used to provide the features for the recognition of places, and they are found or defined based on classical ...
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Incorporating Global Visual Features into Attention based Neural Machine Translation
... image features into NMT sig- nificantly improves the translations of image de- scriptions compared to text-only NMT and PB- ...state-of-the-art model of Huang et ...
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Efficient Ranking Model for image retrieval using user clicks and visual features
... Image mining deals with the extraction of knowledge, image data relationship, or other patterns not explicitly stored in the images. The access of multimedia information system necessitates the capability to search and ...
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An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features
... is based on the feature fusion of low-level visual features that are based on color histogram, color moments and invariant ...low-level visual features as they are robust and ...
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Attention based Multimodal Neural Machine Translation
... regional visual attributes would assist LSTM to generate better and more accurate repre- ...proposed model is depicted in ...these visual features are extracted and ...extract visual ...
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Survey on Text Based Image Abstraction
... low-level visual features images and high level semantic meanings. Based on the classifiers for all the predefined attributes, each image is corresponded by an attribute feature consisting of the ...
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Doubly Attentive Decoder for Multi modal Neural Machine Translation
... multi-modal model to date significantly improves on both text-only NMT and SMT models (Specia et ...spatial visual features in re-ranking n-best lists generated by an SMT system or di- rectly in an ...
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