Efficient content search in iShare, a P2P based Internet-sharing system

2008 ◽  
Author(s):  
Seyong Lee ◽  
Xiaojuan Ren ◽  
Rudolf Eigenmann
Keyword(s):  
Content Search

scholarly journals The prospects for unrestricted speech input for TV content search

2006 ◽  
Author(s):  
Kent Wittenburg ◽  
Tom Lanning ◽  
Derek Schwenke ◽  
Hal Shubin ◽  
Anthony Vetro
Keyword(s):  
Speech Input ◽  
Content Search

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

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.

Efficient Semantic-Based Content Search in P2P Network

2004 ◽  
Vol 16 (07) ◽  
pp. 813-826 ◽  
Author(s):  
Heng Tao Shen ◽  
Yanfeng Shu ◽  
Bei Yu
Keyword(s):  
P2p Network ◽  
Content Search

ENERGY AWARE FUZZY COLOR SEGMENTATION ALGORITHM — AN APPLICATION TO CRIMINAL IDENTIFICATION USING MOBILE DEVICES

2008 ◽  
Vol 06 (05) ◽  
pp. 707-718 ◽  
Author(s):  
SHANMUGAM POONKUNTRAN ◽  
R. S. RAJESH ◽  
PERUMAL ESWARAN
Keyword(s):  
Mobile Devices ◽  
Digital Camera ◽  
Segmentation Algorithm ◽  
Color Segmentation ◽  
Computational Time ◽  
Energy Aware ◽  
Visual Appearance ◽  
Content Search ◽  
New Energy ◽  
Face Segmentation

Since its advent, the use of digital camera in mobile phones is getting more popular, where information retrieval based on visual appearance of an object is very useful when specific parameters for the object are not known. Though it is well-liked, it needs energy aware algorithms to carry out the various tasks such as segmentation and feature extraction. In this paper, a new energy aware fuzzy color segmentation algorithm is proposed and which has been applied for face segmentation in criminal identification using mobile devices. The criminals in the application are in three classes. They are New Criminal (NC), Suspected Criminal (SC) and Confirmed Criminal (CC). It is basically a mobile image-based content search engine that takes photographs of criminals as image queries and finds their relevant contents by matching them to the similar contents in the criminal databases. The energy aware fuzzy color segmentation is used to obtain the most significant parts of an image — facial regions of the persons and which are used in building image-based queries to the databases. Content search methodology in the application is also improved through the fuzzy modeling to make the application more flexible and simpler. Through the experiment conducted, it has been found that the proposed color segmentation algorithm is more robust and it reduces the computational time in searching process by minimizing the number of false cases. It could detect the faces in the images where the other known algorithms have failed to detect.

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