Multi-stack Boundary Labeling Problems

2006 ◽  
pp. 81-92 ◽  
Author(s):  
Michael A. Bekos ◽  
Michael Kaufmann ◽  
Katerina Potika ◽  
Antonios Symvonis
Keyword(s):  
Boundary Labeling

Multirow Boundary-Labeling Algorithms for Panorama Images

2015 ◽  
Vol 1 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Andreas Gemsa ◽  
Jan-Henrik Haunert ◽  
Martin Nöllenburg
Keyword(s):  
Labeling Algorithms ◽  
Boundary Labeling

Automatic phrase boundary labeling of speech synthesis database using context-dependent HMMs and n-gram prior distributions

2015 ◽  
Author(s):  
Qian Chen ◽  
Zhen-Hua Ling ◽  
Chen-Yu Yang ◽  
Li-Rong Dai
Keyword(s):  
Speech Synthesis ◽  
Prior Distributions ◽  
Phrase Boundary ◽  
Context Dependent ◽  
N Gram ◽  
Boundary Labeling

On the readability of leaders in boundary labeling

2018 ◽  
Vol 18 (1) ◽  
pp. 110-132
Author(s):  
Lukas Barth ◽  
Andreas Gemsa ◽  
Benjamin Niedermann ◽  
Martin Nöllenburg
Keyword(s):  
Detailed Analysis ◽  
Task Performance ◽  
User Study ◽  
Point Of View ◽  
Practical Point ◽  
Subjective Preference ◽  
Two Measures ◽  
Preference Ratings ◽  
Boundary Labeling

External labeling deals with annotating features in images with labels that are placed outside of the image and are connected by curves (so-called leaders) to the corresponding features. While external labeling has been extensively investigated from a perspective of automatization, the research on its readability has been neglected. In this article, we present the first formal user study on the readability of leader types in boundary labeling, a special variant of external labeling that considers rectangular image contours. We consider the four most studied leader types (straight, L-shaped, diagonal, and S-shaped) with respect to their performance, that is, whether and how fast a viewer can assign a feature to its label and vice versa. We give a detailed analysis of the results regarding the readability of the four models and discuss their aesthetic qualities based on the users’ preference judgments and interviews. As a consequence of our experiment, we can generally recommend L-shaped leaders as the best compromise between measured task performance and subjective preference ratings, while straight and diagonal leaders received mixed ratings in the two measures. S-shaped leaders are generally not recommended from a practical point of view.

scholarly journals Boundary labeling: Models and efficient algorithms for rectangular maps

2007 ◽  
Vol 36 (3) ◽  
pp. 215-236 ◽  
Author(s):  
Michael A. Bekos ◽  
Michael Kaufmann ◽  
Antonios Symvonis ◽  
Alexander Wolff
Keyword(s):  
Efficient Algorithms ◽  
Boundary Labeling

One-and-a-Half-Side Boundary Labeling

2011 ◽  
pp. 387-398 ◽  
Author(s):  
Chun-Cheng Lin ◽  
Sheung-Hung Poon ◽  
Shigeo Takahashi ◽  
Hsiang-Yun Wu ◽  
Hsu-Chun Yen
Keyword(s):  
Boundary Labeling

scholarly journals Algorithms for Multi-criteria One-Sided Boundary Labeling

2008 ◽  
pp. 243-254 ◽  
Author(s):  
Marc Benkert ◽  
Herman Haverkort ◽  
Moritz Kroll ◽  
Martin Nöllenburg
Keyword(s):  
Boundary Labeling

scholarly journals Algorithms for Multi-Criteria Boundary Labeling

2009 ◽  
Vol 13 (3) ◽  
pp. 289-317 ◽  
Author(s):  
Marc Benkert ◽  
Herman Haverkort ◽  
Moritz Kroll ◽  
Martin Nöllenburg
Keyword(s):  
Boundary Labeling

Boundary Labeling in Text Annotation

2009 ◽  
Author(s):  
Chun-Cheng Lin ◽  
Hsiang-Yun Wu ◽  
Hsu-Chun Yen
Keyword(s):  
Text Annotation ◽  
Boundary Labeling
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