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Table of Contents

2011 IEEE Transactions on Geoscience and Remote Sensing  
Li 2738 Deformation Time-Series Generation in Areas Characterized by Large Displacement Dynamics: The SAR Amplitude Pixel-Offset SBAS Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  These interferograms have been computed from the ENVISAT data analyzed in the experiments presented in Section III of the paper: ''Deformation Time-Series Generation in Areas Characterized by Large Displacement  ... 
doi:10.1109/tgrs.2011.2157570 fatcat:kfg3ieqhhrbsnev5lfsfd2g44q

Semantic Waveform Measurement Method of Kansei Transition for Time-series Media Contents

Takafumi Nakanishi, Ryotaro Okada, Rintaro Nakahodo
2021 International journal of smart computing and artificial intelligence  
In this paper, we present a semantic waveform measurement method of Kansei transition for time-series media contents.  ...  We can apply our method to new media content retrieval depending on time-series change in media content Kansei.  ...  Especially, it is important to realize a retrieval system for media content based on human Kansei.  ... 
doi:10.52731/ijscai.v5.i1.631 fatcat:26wgfriyzbegtib6jpnzdskwk4

Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning

P. Heas, M. Datcu
2005 IEEE Transactions on Geoscience and Remote Sensing  
Experiments performed on a SPOT image time-series demonstrate the concept capabilities.  ...  New products have arisen from this intensive acquisition process: high-resolution satellite image time-series (SITS).  ...  Giros for stimulating discussions and for carefully preprocessing the data. The data were made available by the French Space Agency (CNES) from the ADAM project.  ... 
doi:10.1109/tgrs.2005.847791 fatcat:uiarpp3dw5e4figd4fyktlzx7e

DCMDSM: a DICOM decomposed storage model

Alexandre Savaris, Theo Härder, Aldo von Wangenheim
2014 JAMIA Journal of the American Medical Informatics Association  
the time needed for full-content images for study, series and image hierarchical storing the whole dataset described in table 1, comparing the levels.  ...  retrieval aiming to reduce its execution time, to the detriment The lack of metadata for query/retrieval in file-system-based of the storage execution time.  ... 
doi:10.1136/amiajnl-2013-002337 pmid:24491269 pmcid:PMC4147623 fatcat:z6dr4qec4zhy7mzsjjrmzuftmy

Content Based Movie Scene Retrieval using Spatio-Temporal Features

2019 International Journal of Engineering and Advanced Technology  
So to fulfill the requirement of these two (but not the least) application areas there is a need of content based retrieval system for movie scenes.  ...  Content based video retrieval is a problem of retrieving most similar videos to a given query video by analyzing the visual contents of videos.  ...  In this paper, we proposed a Content based Movie Scene Retrieval (CB-MSR) by employing CNN and LSTM for spatio-temporal representation of movie scene.  ... 
doi:10.35940/ijeat.b3495.129219 fatcat:nn5jhounvzelpeezubf2xae4wy

Strategy for Design and Building Multimedia Data Type

Manish Kumar
2013 International Journal of Computer Applications  
The paper focused on the structure designing the data type which provides support for content based retrieval of multimedia data.  ...  The paper proposes a unified model for designing multimedia data types which includes data representatives, content representatives.  ...  The most common characteristics used for content based retrieval are: texture, color and shape xi xii xiii xiv.  ... 
doi:10.5120/12733-9589 fatcat:hk7gbgobibb3jmmyzo4rwpb5oa

TIN: an interactive image navigator providing ubiquitous access to distributed geo-spatial data

B. Velez, A. Cabarcas, L. Malave
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
TIN allows recursive navigation of the image space by dynamically embedding retrieved sub images as spatial hyperlinks inside other retrieved images.  ...  The base of the system is a distributed database that collects heterogeneous spatial data taken from satellite ground stations.  ...  We obtained seed funding to start TerraScope thanks to a 1-year combined grant from the NASA Tropical Center for Earth and Space Studies (TCESS) and the NSF Center for Subsurface Sensing and Imaging Systems  ... 
doi:10.1109/itcc.2004.1286476 dblp:conf/itcc/VelezCM04 fatcat:wnkzx6dnlnbqriucbcvc3soo4q

Neural Network-Based Dynamic Segmentation and Weighted Integrated Matching of Cross-Media Piano Performance Audio Recognition and Retrieval Algorithm

Tianshu Wang, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
This paper presents a dynamic segmentation and weighted comprehensive matching algorithm based on neural networks for cross-media piano performance audio recognition and retrieval.  ...  This paper implements the data collection and processing, audio recognition, and retrieval algorithm for cross-media piano performance big data through three main modules: the collection, processing, and  ...  Music is formed by the sequential combination of multiple notes in a time series and the sequence processing properties of LSTMs. is study will apply LSTM networks to learn and train the time series note  ... 
doi:10.1155/2022/9323646 fatcat:lmgefjsmdzagdekurjwqs6xwju

Special issue on ?Neural networks for enhanced intelligence?

Damminda Alahakoon, Ajith Abraham, Lakhmi Jain
2004 Neural computing & applications (Print)  
The fourth paper again takes a support-vector-machine-based approach, this time for an image retrieval application.  ...  The first paper describes a new model for time series forecasting using the radial basis functions (RBFs).  ...  Yeh (Monash University, Australia), and Ravi Jain (The University of South Australia, Australia) for their time and expertise.  ... 
doi:10.1007/s00521-004-0420-5 fatcat:bodneo3fojarpjk6o3bl546764

Content-Based Image Retrieval by Query Adaptive Search using Hash Codes

Aarthi E, Kaviya S, Keerthika D, Kirithika B
2017 IJARCCE  
This can be achieved by first off offline learning bitwise weights of the hash codes for a various set of predefined linguistics thought categories.  ...  Visual similarity has been a lively topic of analysis in Scalable image search.  ...  This paper describes dynamic content based image search and retrieval is conferred, called Hybrid feature extraction method.  ... 
doi:10.17148/ijarcce.2017.6342 fatcat:7f36fh4drfe5tcoar6pj4dmvbu

Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases [chapter]

Chotirat Ann Ratanamahatana, Eamonn Keogh
2005 Lecture Notes in Computer Science  
Much of the world's data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series.  ...  This fact has fueled enormous interest in time series retrieval in the database and data mining community.  ...  Image retrieval: Image Retrieval has become increasingly crucial in our information-based community. For some specialized domains, it can be useful to convert images into "pseudo time series."  ... 
doi:10.1007/11552451_3 fatcat:7be63scew5ca3albix4b3nuwua

Learning Compact Spatio-Temporal Features for Fast Content based Video Retrieval

This makes extremely difficult to retrieve similar videos based on this metadata without using content based semantic search.  ...  Content based video retrieval is problem of retrieving most similar videos to a given query video and has wide range of applications such as video browsing, content filtering, video indexing, etc.  ...  To obtain video-level representation time series pooling operation is done to pool the frame-level activations.  ... 
doi:10.35940/ijitee.b7847.129219 fatcat:36mq4rbyv5h6zal2jswieedd2q

Table of contents

2020 IEEE Transactions on Geoscience and Remote Sensing  
Niu 8125 GNSS Data Modeling the Slant Wet Delays From One GPS Receiver as a Series Expansion With Respect to Time and Space: Theory and an Example of Application for the Tahiti Island ..... F.  ...  Wang 8077 Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification ...............................................................  ... 
doi:10.1109/tgrs.2020.3029642 fatcat:hpvuqstttzbapkewxrlfvfvb6m

Similarity Based Retrieval In Case Based Reasoning For Analysis Of Medical Images

M. Das Gupta, S. Banerjee
2015 Zenodo  
Content Based Image Retrieval (CBIR) coupled with Case Based Reasoning (CBR) is a paradigm that is becoming increasingly popular in the diagnosis and therapy planning of medical ailments utilizing the  ...  digital content of medical images.  ...  BT/PR4256/BID/7/393/2012 dated 02.08.2012) for supporting this research.  ... 
doi:10.5281/zenodo.1100021 fatcat:4ivotln7afgsbir3v7n5dtkz5u

An Efficient Query Mining Framework Using Spatial Hidden Markov Models for Automatic Annotation of Images

R Ramya
2014 International Journal of Computer Trends and Technology  
A novel method for automatic annotation of images is used with keywords from a generic vocabulary of concepts or objects combined with annotation-based retrieval of images.  ...  This annotation supports content-based search of the image-collection through keywords. The keyword relevance can be constructed using Aggregate Markov Chain (AMC).  ...  MARKOV CHAIN BASED IMAGE INDEXING Markov chain based image indexing (MSI) has been used for online image retrieval system.  ... 
doi:10.14445/22312803/ijctt-v11p107 fatcat:53i5uszg25dfhmfkhsvuzebthm
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