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Table 1. Types of queries and matching methods in image-based search Query Matched with: Matching algorithm

in New Use for the Pen: Outline-Based Image Queries
by Lambert Schomaker, Louis Vuurpijl, eta l., Edward De Leau 1999
"... In PAGE 1: ... On the world-wide web (WWW), various experi- mental approaches are already available[9], from which some lessons can be drawn. Textual methods which are based on keyword queries ( Table1 , A) to nd images are potentially very powerful. However, a textual annotation of images produced by a single content provider, al- though already very costly by itself, usually does not cover a su cient number of views or perspec- tives on the same pictorial material.... ..."
Cited by 1

Table 1: Advantages and disadvantages of structured and image-based document representa- tions compared. See the text for a discussion.

in The future of document imaging in the era of electronic documents
by Thomas M. Breuel 2005
"... In PAGE 18: ... Such an implementation of cut-and-paste operates universally, irrespective of the particular implementation or representation of content that an application is using2. A comparison of capabilities of structured and image-based document representations is shown in Table1 . We note a number of advantages of image-based representations over structured representations of documents: more intuitive behavior, ability to represent arbitrary content, simple format conversions, lower up-front investment in markup, and improved privacy and security.... ..."
Cited by 3

Table 1: Image-based and Text-based Similarity for Corpus One E01 E13 E18 E22

in Text Retrieval from Document Images based on N-Gram Algorithm
by Chew Lim Tan, Sam Yuan Sung, Zhaohui Yu, Yi Xu 2000
"... In PAGE 9: ... Similarity measures of all the articles in this corpus with the respective four reference articles were made using the image-based and text-based methods. The results are summarized in Table1 and Figure 4. The above images came from paper printed by a printer.... ..."
Cited by 3

Table 4 - Connected Table of the Reference image based on the reference zone of influence.

in Novel Automatic PCB Inspection Technique Based on Connectivity
by Mauro Hiromu Tatibana, Roberto De, Alencar Lotufo 1997
"... In PAGE 5: ... It changes the coordinates of the centroids in the table by the correspondent value of the zone of influence image at that coordinate. Table4 and Table 5 show the correspondent connected tables of Table 1 and Table 2 converted to the Reference Holes Regions. This operator can check for two possible errors: a) the existence of two or more holes in same zone of influence; b) the lack of hole in any zone of influence.... In PAGE 5: ...Table 5 - Connected Table of the Test image based on the reference zone of influence. This operator is explained using the illustrative example of the Table4 and Table 5, which refer to the images of Figure 3: 1. Obtain the number of conductors of the Test table.... ..."
Cited by 3

Table 1: Transformational Procedures (TPs). Note that the Input column lists only image-based arguments. Model-based arguments are not listed for Subgraph Isomorphism, Geometric Matching and Planar Distance TPs.

in Learning Control Strategies for Object Recognition
by Bruce Draper
"... In PAGE 24: ... Of course, since any two points on the object model can serve as compile-time parameters to a scaling TP, many other parameterizations of the scaling TP could be included in the library. Although the visual procedure library shown in Table1 is su cient for the pur- poses of this experiment, it includes just a few of the computer vision algorithms described in the literature. Unfortunately, the current Lisp implementation of SLS has proved an impediment to building a larger library, since source code for most visual procedures is available only in C.... ..."

Table 3. We outperform segmentations using only surface labels and an image-based normalized cuts algorithm [6] by using both surface and image cues together with boundary reasoning.

in Recovering Occlusion Boundaries from a Single Image
by Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Martial Hebert
"... In PAGE 6: ... [13]; and (2) a recent version of the NCuts segmentation algorithm [6]. In Table3 , we show that our algorithm achieves greater mean conservation and efficiency than both of the others. Also, only our algorithm provides figure/ground labels.... ..."

Table 1: Comparison between 3-D model-based rendering and the image-based rendering tech- niques

in TM A Survey of Image-based Rendering Techniques
by Sing Bing Kang 1997
"... In PAGE 9: ... In contrast with 3-D model-based rendering, image-based rendering tech- niques rely primarily on the original or trained set of images to produce new, virtual views. Comparisons between the 3-D model-based rendering and the image-based rendering tech- niques are shown in Table1 . In 3-D model-based rendering, 3-D objects and scenes are repre- sented by explicitly constructed 3-D models (from CAD modeler, 3-D digitizer, active range, or stereo techniques).... ..."

Table 1: Classifying the Sample 2 Data (439 pages) Using the Image-Based Classifier

in Prediction of OCR Accuracy Using Simple Image Features
by Luis Blando Junichi, Junichi Kanai, Thomas A. Nartker 1995
"... In PAGE 3: ... Character accuracy is defined as: Character Accuracy = (n - Number of Errors) / n where n is the total number of characters in the ground- truth text [1]. 5: Results and Analysis Table1 and 2 summarize the decisions made by the image- based prediction system processing the Sample 2 data set and the magazine data set. For all systems, this classifier was able to correctly recognize approximately 85% of the pages in each data set.... ..."
Cited by 7

Table 1: Comparison of our method with other relevant work. IBVH: Image-Based Visual Hulls [MBRa1

in EUROGRAPHICS 2004 / M.-P. Cani and M. Slater
by Guest Editors Volume, Ming Li, Marcus Magnor, Hans-peter Seidel
"... In PAGE 3: ... This imposes severe restrictions on the freedom of choosing novel viewpoints. Table1 summarizes the most relevant work and compares them with our proposed new method. For more comprehen- sive surveys on the reconstruction of visual hulls and photo hulls, please be referred to [Dye01, SCMS01].... ..."

Table 1. Precision and recall of image-based text retrieval from Corpora IV and V.

in Imaged document text retrieval without OCR
by Chew Lim Tan, Weihua Huang, Zhaohui Yu, Yi Xu 2002
"... In PAGE 11: ...s many as possible news articles, then a threshold of 0.1 may be adopted. Setting 0.15 as the threshold appears a good compromise. Table1 also shows a slightly better performance for English imaged documents than Chinese, the reason being the more complicated character shapes in Chinese and hence a much greater number of character object classes to handle. 0 0.... ..."
Cited by 12
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