Content Based Search Engine for Historical Calligraphy Images

2014 ◽  
Vol 10 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Xiafen Zhang ◽  
Vijayan Sugumaran
Keyword(s):  
Search Engine ◽  
High Dimensional ◽  
Image Search ◽  
Shape Features ◽  
Document Images ◽  
Search Query ◽  
Image Content ◽  
Content Search ◽  
Image Format ◽  
Potential Use

Paper collections of historical calligraphy objects in Libraries and museums are scanned into document images to serve the academic society. However, these digitized collections are in image format, lacking the technology to search by image content. This paper proposes a search engine for searching calligraphy image content. First, 2503 page images are segmented into characters and components. Second, characters are interactively labeled and features are extracted to build a calligraphy database. When an image search query is submitted, coarse features are first extracted and used to prune the long list of calligraphy characters into a shorter list. Then fine shape features are employed to determine the most similar characters. iDistance and NB-Tree are used to create the high dimensional index. The efficiency of the algorithm has been demonstrated through experiments with 110,737 individual calligraphic character images. This research provides a demonstration of the potential use of calligraphy content search on the web.

Virage image search engine: an open framework for image management

1996 ◽  
Author(s):  
Jeffrey R. Bach ◽  
Charles Fuller ◽  
Amarnath Gupta ◽  
Arun Hampapur ◽  
Bradley Horowitz ◽  
...  
Keyword(s):  
Search Engine ◽  
Image Management ◽  
Image Search ◽  
Open Framework

scholarly journals PERAN SEO DALAM MENINGKATKAN RELIABILITAS PEMASARAN PRODUK VIA MEDIA ONLINE PADA FORUM MUSLIMAH DEPOK

DEDIKASI PKM ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Ahmad Maulana Irfanudin ◽  
Didi Sunardi ◽  
Ratna Sari ◽  
Imbron Imbron ◽  
Nariah Nariah
Keyword(s):  
Search Engine ◽  
Community Service ◽  
Online Media ◽  
Positive Role ◽  
Campus Environment ◽  
Search Engine Optimization ◽  
Content Search ◽  
Service Activities ◽  
The Right ◽  
The University

The purpose of Community Service Activities (PKM) is to carry out one of the three obligations of the Tri Dharma Perguruan Tinggi. In addition, it is expected that by serving the community, the existence of higher education institutions can contribute to the development and application of knowledge to the community. The method of activity used is to visit the Forum Muslimah Depok, Al-Awwal Mosque, addressed on Jalan Mawar Raya, Depok Jaya and look for problems that are in place so as to provide the right solution in motivating members who has business or UMKM in Depok, West Java, especially for Jama’ah Masjid Al Awwal Masjid Depok Jaya and gave training there on 01-03 October 2019. This training aims to develop the ability to increase marketing through online media with SEO methods and techniques (Search Engine Optimization) for Muslimah Forum members, Al-Awwal Mosque, Depok Jaya. The results of community service activities (PKM) obtained indicate that prior to the implementation of PKM, Depok Muslimah Forum members did not yet know the terms related to product marketing via online media, but after the implementation of activities known members of the Depok Muslimah Forum could understand the basics of content creation with simple SEO rules. PKM activities play a positive role in increasing the knowledge and skills of participants in creating SEO-based content The knowledge gained in Community Service this time is expected to be able to provide enthusiasm especially for the lecturers and other academicians of the University of Pamulang in providing material counseling, motivation and contributing to the public in and outside the campus environment of the University of PamulangKeywords: Content, Search Engine Optimization, Online

MISE: The MediaSys Image Search Engine

2000 ◽  
pp. 993-1002
Author(s):  
Frédéric Andrés ◽  
Nicolas Dessaigne ◽  
José Martinez ◽  
Noureddine Mouaddib ◽  
Kinji Ono ◽  
...  
Keyword(s):  
Search Engine ◽  
Image Search

Retrieval effectiveness of image search engines

2019 ◽  
Vol 37 (1) ◽  
pp. 173-184 ◽  
Author(s):  
Aabid Hussain ◽  
Sumeer Gul ◽  
Tariq Ahmad Shah ◽  
Sheikh Shueb
Keyword(s):  
Image Retrieval ◽  
Search Engine ◽  
Search Engines ◽  
Keyword Search ◽  
Image Search ◽  
Image Size ◽  
Test Bed ◽  
Content Type ◽  
Retrieval Effectiveness ◽  
Search Feature

Purpose The purpose of this study is to explore the retrieval effectiveness of three image search engines (ISE) – Google Images, Yahoo Image Search and Picsearch in terms of their image retrieval capability. It is an effort to carry out a Cranfield experiment to know how efficient the commercial giants in the image search are and how efficient an image specific search engine is. Design/methodology/approach The keyword search feature of three ISEs – Google images, Yahoo Image Search and Picsearch – was exploited to make search with keyword captions of photos as query terms. Selected top ten images were used to act as a testbed for the study, as images were searched in accordance with features of the test bed. Features to be looked for included size (1200 × 800), format of images (JPEG/JPG) and the rank of the original image retrieved by ISEs under study. To gauge the overall retrieval effectiveness in terms of set standards, only first 50 result hits were checked. Retrieval efficiency of select ISEs were examined with respect to their precision and relative recall. Findings Yahoo Image Search outscores Google Images and Picsearch both in terms of precision and relative recall. Regarding other criteria – image size, image format and image rank in search results, Google Images is ahead of others. Research limitations/implications The study only takes into consideration basic image search feature, i.e. text-based search. Practical implications The study implies that image search engines should focus on relevant descriptions. The study evaluated text-based image retrieval facilities and thereby offers a choice to users to select best among the available ISEs for their use. Originality/value The study provides an insight into the effectiveness of the three ISEs. The study is one of the few studies to gauge retrieval effectiveness of ISEs. Study also produced key findings that are important for all ISE users and researchers and the Web image search industry. Findings of the study will also prove useful for search engine companies to improve their services.

WEBCONTENT VISUALIZER: A VISUALIZATION SYSTEM FOR SEARCH ENGINES IN SEMATIC WEB

2011 ◽  
Vol 10 (05) ◽  
pp. 913-931 ◽  
Author(s):  
XIANYONG FANG ◽  
CHRISTIAN JACQUEMIN ◽  
FRÉDÉRIC VERNIER
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Search Query ◽  
Visualization System ◽  
Xml Documents ◽  
Web Search Engines ◽  
New Generation

Since the results from Semantic Web search engines are highly structured XML documents, they cannot be efficiently visualized with traditional explorers. Therefore, the Semantic Web calls for a new generation of search query visualizers that can rely on document metadata. This paper introduces such a visualization system called WebContent Visualizer that is used to display and browse search engine results. The visualization is organized into three levels: (1) Carousels contain documents with the same ranking, (2) carousels are piled into stacks, one for each date, and (3) these stacks are organized along a meta-carousel to display the results for several dates. Carousel stacks are piles of local carousels with increasing radii to visualize the ranks of classes. For document comparison, colored links connect documents between neighboring classes on the basis of shared entities. Based on these techniques, the interface is made of three collaborative components: an inspector window, a visualization panel, and a detailed dialog component. With this architecture, the system is intended to offer an efficient way to explore the results returned by Semantic Web search engines.

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