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2011
IEEE Transactions on Geoscience and Remote Sensing
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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
2021
International journal of smart computing and artificial intelligence
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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
2005
IEEE Transactions on Geoscience and Remote Sensing
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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
2014
JAMIA Journal of the American Medical Informatics Association
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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
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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
2013
International Journal of Computer Applications
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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
2004
International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.
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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
2022
Computational Intelligence and Neuroscience
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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?
2004
Neural computing & applications (Print)
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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
2017
IJARCCE
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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]
2005
Lecture Notes in Computer Science
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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
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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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
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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
2015
Zenodo
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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
English
2014
International Journal of Computer Trends and Technology
English
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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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