A content search system for mobile devices based on user context recognition

2012 ◽  
Author(s):  
Tomohiro Mashita ◽  
Daijiro Komaki ◽  
Mayu Iwata ◽  
Kentaro Shimatani ◽  
Hiroki Miyamoto ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Search System ◽  
Context Recognition ◽  
User Context ◽  
Content Search

scholarly journals Adaptive mobile visualization - the chameleon framework

2015 ◽  
Vol 12 (2) ◽  
pp. 445-464 ◽  
Author(s):  
Paulo Pombinho ◽  
Maria Carmo ◽  
Ana Afonso
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Information Visualization ◽  
High Speed ◽  
Ad Hoc ◽  
Resource Constraints ◽  
Specific Domain ◽  
User Context ◽  
Screen Space

The evolution of mobile devices and the development of high speed wireless networks have supported a widespread use of these devices with increasingly more complex applications. This reality has fostered the research in the field of information visualization in mobile devices. However, the limited screen space, resource constraints and interaction restrictions impose difficulties to developers and users of these applications. An approach to address these problems is to adapt the visualization to the user context. However, these proposals are normally designed in an ad-hoc fashion and are difficult to generalize. In addition, existing solutions are focused only in some subset of possible characteristics of the user context or only address a very specific domain and related adaptations. The objective of this paper is to present the design of a framework for adaptive mobile visualization (AMV) applications, denominated Chameleon, and the development and evaluation of prototypes that use this conceptual-based framework.

scholarly journals Improved Ability Multi Keyword Search System on Cloud Web Server

2019 ◽  
Vol 8 (6) ◽  
pp. 2421-2425
Keyword(s):  
Mobile Devices ◽  
Keyword Search ◽  
Cell Phones ◽  
Web Server ◽  
Calculation Procedure ◽  
Search System ◽  
Mobility Devices ◽  
Major Stage

The movement of clients from desktop to mobility devices, made a major stage in the portable trade. All the up and coming advancements, parts, delicate products are very composed by the portable. As versatility is unavoidable prerequisite by the clients, the outline of programming with less battery utilization are generally invited. The calculation procedure is relative to the battery utilization. The calculation at the cell phones genuinely influences the series of the portable. Hence making the calculation at the cloud has an awesome arrangement in diminishing the battery utilization. The delegate calculation inquiry is a productive approach to safeguard the battery of the mobile devices. Indeed, even the encryption/unscrambling of records takes control so proposing IOPE for scrambling the document which is a basic plan

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.

scholarly journals Acoustic context recognition for mobile devices using a reduced complexity SVM

2015 ◽  
Author(s):  
Daniele Battaglino ◽  
Annamaria Mesaros ◽  
Ludovick Lepauloux ◽  
Laurent Pilati ◽  
Nicholas Evans
Keyword(s):  
Mobile Devices ◽  
Context Recognition ◽  
Reduced Complexity

Modeling and Analyzing User Contexts for Mobile Advertising

2011 ◽  
Vol 2 (3) ◽  
pp. 38-52
Author(s):  
Nan Jing ◽  
Yong Yao ◽  
Yanbo Ru
Keyword(s):  
Mobile Devices ◽  
Online Advertising ◽  
Research Work ◽  
User Interaction ◽  
Location Tracking ◽  
Context Aware ◽  
Mobile Advertising ◽  
Mobile Platforms ◽  
User Context ◽  
Critical Components

Context-aware advertising is one of the most critical components in the Internet ecosystem today because most WWW publisher revenue highly depends on the relevance of the displayed advertisement to the context of the user interaction. Existing research work focuses on analyzing either the content of the web page or the keywords of the user search. However, there are limitations of these works when being extended into mobile computing domain, where mobile devices can provide versatile contexts, such as locations, weather, device capability, and user activities. These contexts should be well categorized and utilized for online advertising to gain better user experience and reaction. This paper examines the aforementioned limitations of the existing works in context-aware advertising when being applied for mobile platforms. A mobile advertising system is proposed, using location tracking and context awareness to provide targeted and meaningful advertisement to the customers on mobile devices. The three main modules of this comprehensive mobile advertising system are discussed, including advisement selection, advertisement presentation, and user context databases. A software prototype that is developed to conduct the case studies and validate this approach is presented.

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