Scene Classification
Generalized Aggregation of Sparse Coded Multi-spectral for Satellite Scene Classification
... a classification model by using manually annotated labels and the corresponding satellite ...natural scene classification has resulted in the widespread application of these models for solving the ...
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Scene Classification using Localized Histogram of Oriented Gradients Method
... Scene classification is an important and elementary problem in image ...gender classification, skin classification, facial image classification, generating weather information from ...
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Attentive Temporal Pyramid Network for Dynamic Scene Classification
... Dynamic scene classification is an important yet challenging problem especially with the presence of defected or irrelevant frames due to unconstrained imaging conditions such as illu- mination, camera ...
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Hybrid Feature Based War Scene Classification using ANN and SVM: A Comparative Study
... war scene from the natural ...war scene classification ...to scene classification and its new ...Keywords: Scene Classification, Artificial Neural Networks, Hybrid ...
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Learning long-term filter banks for audio source separation and audio scene classification
... A novel framework of filter banks that can extract long- term time and frequency correlation is proposed in this paper. The new filters are constructed after traditional frequency filters and can be implemented using ...
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Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets
... Developing a Improved Datasets: Almost all of the research on scene classification aims at improving the accuracy using the existing datasets. And we can say that it has reached a saturation level due to ...
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Scene classification using spatial pyramid matching and hierarchical Dirichlet processes
... of scene classification without the segmentation and the processing of individual objects or ...the scene identity level, it proposes to represent a scene image using a set of global image ...
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Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images
... existing scene classification meth- ods are based on deep neural ...the classification accuracy achieves of almost 90% via training the top softmax layer of ...the classification accuracies ...
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Hybrid Feature based Natural Scene Classification using Neural Network
... This work proposed an efficient signature based approach for natural image classification. Experimental result obtained using different features namely RGB color moment and db4 wavelet Transform feature and hybrid ...
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Indoor versus Outdoor Scene Classification Using Probabilistic Neural Network
... the scene. We have tested the proposed scene classification technique on the IITM-SCID2 database and observed that the textural fea- tures based on the DWT subbands dominates other features such as ...
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Scene Classification Using Efficient Low-level Feature Selection 1
... In recent years, researchers have been focusing on solve the semantic gap [1] [6] [10] [16] in the content of the images to support good scene classification, which can automatically capture the ...
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Audio Based Action Scene Classification Using HMM SVM Algorithm
... Recent advances in multimedia compression technology, the significant increase in computer performance and the growth of Internet, have led to the widespread use and availability of digital video. The availability of ...
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Artificial Neural Networks Based War Scene Classification using Invariant Moments and GLCM Features: A Comparative Study
... object classification are important research topics in robotics and computer ...years. Scene classification refers to classifying the images into semantic categories ...[3]. Classification is ...
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Remote sensing scene classification based on rotation-invariant feature learning and joint decision making
... In recent years, various deep learning methods have shown their powerful feature representation in the field of machine learning [19]. Convolutional neural network (CNN) is one of the most successful methods and has ...
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Spatial Deep Networks for Outdoor Scene Classification
... For better discriminative power, we also utilize higher- dimensional “strong features,” which are SIFT descriptors of 16 ⇥ 16 pixel patches computed over a grid with spacing of 8 pixels. Our decision to use a dense ...
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Multi-Class Support Vector Machine (MSVM) Enabled Indoor Scene Classification With SIFT Features
... scale classification models ...for scene classification. In [4] the work is done on Indoor scene recognition by a mobile robot via adaptive object ...building scene detector they have ...
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A database and challenge for acoustic scene classification and event detection
... sound scene may co-occur, and so polyphonic event detection, with overlapping event re- gions, is ...than scene classification, but at the same time heavily ...from scene classification ...
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Automatic indoor/outdoor scene classification
... database of for both the entire image, classification rates of [13] over Using this texture image features 74.2% than and image 82.2% together subblocks technique, color and texture rath[r] ...
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Exploiting Textons Distributions on Spatial Hierarchy for Scene Classification
... recognize scene categories using bags of visual words obtained by hierarchically partitioning into subregion the input ...whole scene. The classification of scenes is carried out by discriminative ...
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A Survey On Visual Questioning Answering : Datasets, Approaches And Models
... Image classification, Ob- ject Detection ...like Scene Classification (What is the weather in the image?), Object recognition (What animal is in the image?), Object detection - Are there any cats in ...
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