[PDF] Top 20 Combining Low-Level Features for Semantic Extraction in Image Retrieval
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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 ... See full document
12
Semantics oriented approach for image retrieval in low complex scenes
... proposed image retrieval system model was constructed based on a literature review that involves background reading, surveying and reviewing related research in the area of bridging the semantic gap ... See full document
42
Title: A Survey on Face Matching and Retrieval of Images
... face image retrieval. Given a query face image, content-based face image retrieval tries to find similar face images from a large image ...face image retrieval by ... See full document
5
Interaction between High Level and Low Level Image Analysis for Semantic Video Object Extraction
... While the advantages of the proposed video object ex- traction algorithm are evident by the results shown in Section 4, there are several interesting questions that remain to be investigated. Of primary interest is a ... See full document
12
Low Level Feature Extraction Techniques in Content Based Image Retrieval: A Review
... An image may contain visual or semantic ...of features that are kept in the database of ...query image and the stored image in the database perform the retrieval ...query ... See full document
10
Semantic Medical Image Analysis For Combining Visual Features
... mapping low level elements with semantic ...the low-level combination visual components are separated in light of force, surface, and their expanded ...disjoint semantic tokens ... See full document
7
A review of low level visual features for a content based medical image retrieval system
... gray level, most medical image surfaces exhibit texture cannot describe only for a ...texture features in [11].Basically there are two types of texture extraction methods namely statistic ... See full document
9
Content based image retrieval by combining features and query by sketch
... content-based image retrieval ...feature extraction and similarity ...certain features of the image, ...of combining several different features in a single ... See full document
8
An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features
... of low-level visual features that are based on color histogram, color moments and invariant ...the semantic gap between image visuals concepts and feature vector ...these ... See full document
17
A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey
... an image from large image database is somehow very difficult task of image retrieval ...an image but still research has been going on to build an efficient ...method. Image can ... See full document
5
Design an Architecture for Object's Feature Extraction and Retrieval of a Gray Scale Image
... Image retrieval is the way of retrieval an image on the basis of local and global features derived from color, texture, and simple shape ...Content-based retrieval from an ... See full document
8
Image Mining for Mammogram Classification to detect breast cancer by Association Reverse Rule Using Statistical and GLCM features
... solitary features nor a combination of several discernible features might fully arrest elevated level believed of ...Picture retrieval established on low level features ... See full document
9
Retrieval and blur detection of images in mobile display devices using recent technologies
... an image retrieval system though the former has been the primary focus of research so ...the low-level image features to high level semantic features, based ... See full document
10
Probabilistic framework for image understanding applications using Bayesian Networks
... where image semantics and low-level vision features were extracted from digital images and used as network ...feature extraction, and probabilistic ...for semantic classes were ... See full document
116
A Comprehensive Survey On Various Semantic Based Video/Image Retrieval Techniques
... every image patch, the fitting classes is assigned and this is accomplishedfinally by semi- supervised ...of low level features and high level semantic ...customizing ... See full document
12
Face Image Retrieval Using Pose Specific Set Sparse Feature Representation
... face image retrieval usually use low-level features to represent faces, but low-level features are lack of semantic meanings and face images usually have ... See full document
10
METHODS FOR KNOWLEDGE DISCOVERY IN IMAGES
... visual features. The semantic rules map the combinations of visual characteristics (colour, texture, shape, position, ...with semantic concepts, capture the meaning and understanding of a domain by ... See full document
8
Image Retrieval Based on its Contents Using Features Extraction
... The image descriptors are obtained from the ODBTC encoded data stream which is already stored in the ...the image retrieval performance is tested when several images are turned ... See full document
5
A Linear Algebraic Technique with an Application in Semantic Image Retrieval
... a semantic space for image retrieval using a linear algebraic ...global image feature such as the RGB ...the semantic gap between image descriptors and keywords in a flexible ... See full document
10
Adoption of M- Wallet: A way Ahead
... on image concepts like color or texture which most people are not familiar ...pose semantic queries using textual descriptions and find images relevant to those semantic ...these image ... See full document
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