low-level content features
A review of low level visual features for a content based medical image retrieval system
... Shape features can also provide useful information for identifying entities. Because humans can recognize objects solely from their shapes. Usually, the shape carries semantic information Wei Zhang explained the ...
9
Low Level Linguistic Controls for Style Transfer and Content Preservation
... In this work, we turn to literary style as a test- bed for style transfer, and build on work from liter- ature scholars using computational techniques for analysis. In particular we draw on stylometry: the use of surface ...
11
Low Level Feature Extraction Techniques in Content Based Image Retrieval: A Review
... An image may contain visual or semantic information. Visual information can be represented in shape, color, texture, and spatial relationships. The visual characteristics extracted are considered as a vector of ...
10
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 ...on low level features are not satisfactory, there is a demand ...
9
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 ...
12
Categorization and Reorientation of Images Based on Low Level Features
... Orientation detection is also a well researched field. A Bayesian learning approach has been proposed in [5]. In [6,7], authors have used SVMs with content-based fea- tures for orientation detection. They have ...
10
Proposed Local Tetra Patterns – An Advanced Feature Descriptor for CBIR
... image content, visually similar images to Query image, No keywords, Low level features like color, shape are used, image indexing techniques, ...consistent level as well the performance ...
9
Hyper Graph Attribute Model for Web Image Search
... Abstract— Image search reranking is an effective approach to refine the text-based image search result. Text-based image retrieval suffers from essential difficulties that are caused mainly by the incapability of the ...
6
ANALYSIS OF IMAGE MINNING TECHNIQUES
... how low- level pixel representation, contained in a raw image or image sequence, can be efficiently and effectively processed to identify high-level spatial objects and ...from ...
8
An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features
... achieves, Content-Based Image Retrieval (CBIR) has gained attention for research community of computer ...appropriate features as it directly affects the performance of image retrieval ...visual ...
17
Variation in multitrack mixes : analysis of low level audio signal features
... multitrack content was recorded in 1975, sourced from an analogue ...high-frequency content in mixes of this song was due to the limitations of the recording technology used at the time or the use of ...
9
Vol 5, No 8 (2017)
... in content-based image recovery (CBIR) ...of features may fundamentally command the others in the DML undertaking, the capacity is to abuse the capability of the considerable number of features; and ...
5
The Secured Content-based Image Retrieval in Cloud Computing
... for content based image retrieval(CBIR), especially for huge scale image ...on. Content-based image recovery is a significant decision to beat the ...the low level element extraction including ...
5
Design an Architecture for Object's Feature Extraction and Retrieval of a Gray Scale Image
... global features derived from color, texture, and simple shape ...information. Content-based retrieval from an annotated image databases is a wide and versatile field of research ...shape features as ...
8
Assessment of Near-Infrared (NIR) spectroscopy for segregation measurement of low content level ingredients
... In many industrial sectors involved in manufacturing and handling of particulate solids, inhomogeneity in powder mixtures caused by segregation could have significant adverse impact on the product quality as well as ...
48
A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image
... In [22], Harel et al. proposed the graph-based visual saliency (GBVS) model via using a novel graph-based strategy. This model computes the dissimilarity of center-surround feature histograms. The approach in [16] ...
10
Concept to text Generation via Discriminative Reranking
... In this paper we present a data-driven ap- proach to concept-to-text generation that is domain- independent, conceptually simple, and flexible. Our generator learns from a set of database records and textual descriptions ...
10
wanchunzhao.pdf
... extract features to identify spam accounts utilizing machine learning and data mining ...analyzing features that is able to identify spam accounts, and also comparing two prediction methods employed by ...
44
Mining News Content for Popularity Prediction
... In recent years, non-negative matrix factorization (NMF) has become well-known in the information retrieval field. NMF is used to find two non-negative matrices whose product can approximate the original matrix; thus, ...
48
IDEAS, INFLUENCES AND PROMISING DIRECTIONS FOR IMAGE RETRIEVAL USING MULTIPLE FEATURES REPRESENTATIONS.
... rich content in the images and the subjectivity of human ...image content different people may perceive it ...difficulties, content-based image retrieval was ...
9