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Transforming Process Models to Problem Frames
[chapter]
2016
Lecture Notes in Business Information Processing
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In contrast, Problem Frames modeled using the UML4PF tool can be used for such analysis. ...
Hence, in this work we propose to integrate UPROM and UML4PF using model transformation. We use eCompany, a project which is part of an e-government program, as running example. ...
12 The aim of the validation will be to explore if the generated documentation is useful and usable in real-life settings and if the tool supports the application of the method. ...
doi:10.1007/978-3-319-42887-1_42
fatcat:vgjtcuturbfznlvm7vsr5eiek4
ANALYSIS OF COMMON QUALITY PROBLEMS IN COORDINATE TRANSFORMATION BETWEEN REFERENCE COORDINATE SYSTEM AND GEOCENTRIC COORDINATE SYSTEM
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This paper expounds the method of transforming the existing reference coordinate system into the geocentric coordinate system, summarizes and sorts out the common quality problems in the process of different ...
Based on the above work, The paper provides reference and suggestions for the transforming work, which is aimed to improve the transformation quality in the future.</p> ...
between different epoch frames in the process of coordinate reduction, making full use of the state-level latest velocity field result CGCS2000 plate motion model (China Plate Model-CGCS2000, CPM-CGCS2000 ...
doi:10.5194/isprs-archives-xlii-2-w13-1281-2019
fatcat:u3tc5h2v5vg2fkvnqg4d5kmzau
Pattern-based development of user-friendly web applications
2006
Workshop proceedings of the sixth international conference on Web engineering - ICWE '06
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We transform problem patterns (problem frames) into solution patterns (design patterns) by using a case-based reasoning methodology to achieve a pattern-based software development process which systematically ...
Using patterns to preserve common problem-solving knowledge is a very popular approach. ...
We would like to thank our doctoral thesis supervisors Prof. Dr. Maritta Heisel and Prof. Dr.-Ing. Jürgen Ziegler for their support. ...
doi:10.1145/1149993.1149996
dblp:conf/icwe/WentzlaffS06
fatcat:uei5bkncurdydmf7mbx4nmtih4
Fast registration of articulated objects from depth images
2013
2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)
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The registration is performed in a parametric space of transformations independently for each segment. The time for registering each frame with the global model is reduced greatly using this method. ...
We present an approach for fast registration of a Global Articulated 3D Model to RGBD data from Kinect. ...
model to incoming frame. ...
doi:10.1109/ncvpripg.2013.6776168
dblp:conf/ncvpripg/PrajapatiN13
fatcat:vsa5hrxd4jaf7babvplctvqbxi
Flicker reduction in old films
2000
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
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This artifact appears as global, quick and random variations of the luminance and contrast between consecutive frames of a sequence. ...
However, although this method reduces mean and variance variation between frames, it does not yield good visual results. Finally, an algorithm based on the histogram matching is proposed. ...
This may be because the problem may seem very easy to solve. However, this is not the case, since a simple change in the image mean intensity is not sufficient to solve the problem. ...
doi:10.1109/icip.2000.899794
dblp:conf/icip/NaranjoA00
fatcat:m7dp4vwvizgthnmuuzi5hthvfm
Analyzing Problem Frames together with Solution Patterns
2007
Workshop em Engenharia de Requisitos
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This paper attempts to make an analysis of the integration of problem classes, that is problem frames, and solutions, by analyzing a set of different kinds of patterns together within problem frames. ...
We can say, for instance, that patterns are about solutions and problem frames are about problems. ...
The Transformation problem frameThe Transformation problem frame can be used to print the sale balance, as shown in Figure12. ...
dblp:conf/wer/SouzaLMRA07
fatcat:uvwxsxitunhsnfmumnvvwkunda
Robust Prediction Algorithm Based on a General EIV Model for Multiframe Transformation
2019
Mathematical Problems in Engineering
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Helmert transformations, which are extensively used to solve transformation parameters, can be separately solved between the target frame and one of the source frames. ...
Additionally, this also generates the problem of multiple solutions in the noncommon station of the target frame. ...
have random errors; thus, the GM model cannot be used to describe the coordinate transformation problem accurately. ...
doi:10.1155/2019/5173956
fatcat:nkdazk3b6bgvfojpwk4dthifpi
Panoramic view construction
2003
Signal processing. Image communication
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Then the parametric models are composed and all the frames are aligned, yielding a whole view of the scene background. ...
First, point or block correspondence between each pair of successive frames is determined. Three parametric motion models are used: 2-D translation with scale change, affine, and projective. ...
The process of mosaic construction involves the frames' transformation according to global frame-to-mosaic alignment parameters, which are obtained by composing the frame-to-frame alignment parameters. ...
doi:10.1016/s0923-5965(03)00032-8
fatcat:vov3fazrevfgbesxvhtpptom4q
Framing the framing effect: the impact of context cues on solutions to the 'Asian disease' problem
1998
European Journal of Social Psychology
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Participants were exposed to the'Asian disease' problem (Tversky & Kahneman, 1981) . ...
option when the problem was framed negatively. ...
Finally, it is interesting to note that research has rarely manipulated the transformation process itself. ...
doi:10.1002/(sici)1099-0992(199803/04)28:2<287::aid-ejsp861>3.0.co;2-u
fatcat:xyjqpziaencb7jeqcupasyfl2a
Algorithmic Analysis to Video Object Tracking and Background Segmentation and Wavelet Transform as New Approach to Video Object Tracking
2014
International Journal of Computer Applications Technology and Research
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The background segmentation worked on to principled object tracking by using two models Gaussian mixture model and level centre model. ...
Wavelet transforms have been one of the important signal processing developments, especially for the applications such as time-frequency analysis, data compression, segmentation and vision. ...
Figure 2 : 2 Background Subtraction
Figure: 3 3 Wavelet Transform Processes in terms of time and frequency
Figure 4 : 4 Haar Wavelet Transform Processes ...
doi:10.7753/ijcatr0304.1007
fatcat:4kz6tsjg5ngytcs3a3xotswjum
Multi-polygonal object tracking
[chapter]
1995
Lecture Notes in Computer Science
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In this paper we consider the problem of the recognition and tracking of moving objects from monocular sequences of images. ...
to track an object after the relative translation and/or rotation. ...
This choice involves the object extraction process to be characterized by data transformations in order to arrive at the process of matching among homogeneous representations. ...
doi:10.1007/3-540-60298-4_299
fatcat:braaodsnmzftnaayots325gqum
Comparing requirements analysis methods for developing reusable component libraries
2006
Journal of Systems and Software
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Experience of applying each approach as a domain analysis method to specify abstract components (object system models and Problem Frames) is reported. ...
Lawrence Erlbaum Associates, Mahwah, NJ.] and Problem Frames [Jackson, M., 2001. ...
AGS would like to thank Michael Jackson for answers to several queries on Problem Frames; however, any errors in the specification are the authorÕs responsibility. ...
doi:10.1016/j.jss.2005.06.027
fatcat:3jaqlhxsgzgjvhk6g6dea4g5my
SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2207.00319v1 fatcat:cf2cvp6wm5celgtem4wtjwprgy
PDCG can solve the problem that the model is challenging to train due to the proportion of overexposed regions of the image. ...
HDCFM learns the SDR frame to HDR frame mapping function via hierarchical feature modulation (HME and HM ) module and a dynamic context feature transformation (DCT) module. ...
It can model a more complex feature mapping process and thus able to obtain better HDR transformed frames.
3.2.5 Modeling Process of the DYCT Module. . ...
arXiv:2207.00319v2
fatcat:s7fj5ka54ff2ddhvstfrvs35bi
Probabilistic video stabilization using Kalman filtering and mosaicing
2003
Image and Video Communications and Processing 2003
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A six-parameter affine model is used to describe the interframe transformation, allowing quite accurate description of typical scene changes due to camera motion. ...
Registration between distant frames is performed efficiently by cascading interframe affine transformation parameters. ...
An error in estimating transformation parameters between two frames causes incorrect compensating transformations to be applied to a sequence of frames, resulting in annoying jumps in the processed video ...
doi:10.1117/12.476436
fatcat:iykqjdonfzez5pgqecvjzfqqcm
Unsupervised Learning of Camera Pose with Compositional Re-estimation
[article]
2020
arXiv
pre-print
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We consider the problem of unsupervised camera pose estimation. Given an input video sequence, our goal is to estimate the camera pose (i.e. the camera motion) between consecutive frames. ...
Traditionally, this problem is tackled by placing strict constraints on the transformation vector or by incorporating optical flow through a complex pipeline. ...
This shows that by using the re-estimation process, our model generates images that are more similar to the target frame. ...
arXiv:2001.06479v1
fatcat:wqwopwa6afb6lbf7cbxzxaee7y
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