Multimedia and geographic data integration for cultural heritage information retrieval

Purificato, Erasmo; Rinaldi, Antonio M.

doi:10.1007/s11042-018-5931-7

Cited by 20 publications

(3 citation statements)

References 44 publications

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“…The wild intersection removal method in this paper adopts the graphical removal method, as shown in Figure 4. The specific steps of the algorithm are as follows [20] : (1) the intersection set P = {p 1 , p 2 , … p s } solved by the improved acceleration vector is taken as an input; (2) the overall scope of the graphical search is determined; and (3) a small search window is designed to count the number of intersections in the search range determined in the previous step. The size of the small search window is determined before the start of the detection and is mainly determined according to the number of moving objects in the image and the size of the image.…”

Section: Anomaly Localization Algorithm Based On Single Escape Centermentioning

confidence: 99%

Big data analytics of crime prevention and control based on image processing upon cloud computing

Xu¹,

Cheng²,

Sugumaran³

2020

JSSS

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Aim: Current crime behavior observation has the problem of not being real time, thus criminal behavior cannot be promptly controlled. To improve the control of criminal behavior, this study was based on cloud computing image processing, and adopted data mining for criminal behavior. Methods: This study obtained many criminal behavior characteristics through data collection and combined the rapid response capability of cloud computing to adopt data processing. In addition, to improve the accuracy of criminal behavior recognition, the identification method for criminal behaviors in selected populations was studied, and the image processing technology was combined to identify individual crimes and subject segmentation. Results: Our work used statistical methods to collect the characteristics of criminal behavior, and we designed experiments to verify the effectiveness of the algorithm. The experimental research shows that the algorithm has high accuracy in identifying abnormal behavior. Conclusion: The research shows that the accuracy of the algorithm for identifying abnormal behavior is relatively high, and it has high practical value, which can meet the accuracy and real-time requirements of security systems.

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Section: Anomaly Localization Algorithm Based On Single Escape Centermentioning

confidence: 99%

Big data analytics of crime prevention and control based on image processing upon cloud computing

Xu¹,

Cheng²,

Sugumaran³

2020

JSSS

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“…Art and culture always played an important role in the development of human existence [13]. The interest in digital cultural heritage and the preservation of historical materials for future generations increased in the recent years [14].…”

Section: Introductionmentioning

confidence: 99%

“…The interest in digital cultural heritage and the preservation of historical materials for future generations increased in the recent years [14]. Although there are several intriguing ICT applications that were developed in the context of art-related websites over the past few decades [13], in the vast landscape of the World Wide Web, where commerce and technology often steal the spotlight, fields such as art and cultural heritage are often overlooked. The effort to better understand the needs of users searching for material in fields related to humanities throughout the years included researching the behavior of scholars with access to informational databases such as the Getty Art History Information Program [15], documenting the feedback of undergraduate students on the usage of full-text databases [16], and more.…”

Section: Introductionmentioning

confidence: 99%

Searching Online for Art and Culture: User Behavior Analysis

et al. 2023

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With the constant expansion of the Web, search engines became part of people’s daily routines. How users behave during the search process depends on a variety factors, one of which is the topic of their search interest. This study focused on the behavior of users searching the Web for content related to art and cultural heritage. A proprietary, publicly available, federated search engine, in the form of a web and mobile app, was developed for this research’s purposes. This platform was used to monitor actual user behavior during a six-month period. Quantitative data related to the platform’s usage were collected and analyzed in order to provide a detailed picture of the way interested parties engaged with it. This information pertained not only to the search queries and results viewed, but also to the various characteristics of the search sessions themselves. The study presented an analysis of these data, with emphasis on query and result characteristics, usage devices, login preferences and session duration, and drew conclusions. The study’s findings showed, among other things, that art searchers showed a preference for shorter queries, a tendency for higher query repeatability, and showed interest in a wider number of results than general purpose searchers. Additionally, they were more keen to use desktop devices instead of mobile ones and displayed higher engagement metrics during longer search sessions or when logged in. These findings outlined an art searcher who was interested in concepts and people often revisited searches and results, showed interest for more than the first few hits, was attracted by rich content, and understood the art search process as a task which requires focus. They also pointed out a duality in the art search process itself which can be long and involved or short and purposeful.

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A Document Visualization Strategy Based on Semantic Multimedia Big Data

Rinaldi

2019

Pervasive Systems, Algorithms and Networks

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Multimedia and geographic data integration for cultural heritage information retrieval

Cited by 20 publications

References 44 publications

Big data analytics of crime prevention and control based on image processing upon cloud computing

Big data analytics of crime prevention and control based on image processing upon cloud computing

Searching Online for Art and Culture: User Behavior Analysis

A Document Visualization Strategy Based on Semantic Multimedia Big Data

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