scholarly journals A Cross-Media Retrieval Method Based on Semisupervised Learning and Alternate Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Junzheng Li ◽  
Wei Zhu ◽  
Yanchun Yang ◽  
Xiyuan Zheng
Keyword(s):  
Big Data ◽  
Optimization Method ◽  
Semisupervised Learning ◽  
Multimedia Data ◽  
Internet Technology ◽  
Retrieval Method ◽  
Cross Media ◽  
Media Learning ◽  
Public Datasets ◽  
Alternate Optimization

With the continuous advancement in Internet technology, we are gradually stepping into an era of big data where a large amount of multimedia data is produced every day at any given time. In order to properly utilize these data, the research on big data is also constantly evolving. Cross-media retrieval is a prime example, aiming at retrieving various forms of data, for example, text, image, audio, video, and other forms. The most difficult task for cross-media retrieval lies in the potential correlation between different modalities data and how to overcome the semantic gap. This paper proposes a cross-media retrieval method based on semisupervised learning and alternate optimization (SMDCR) to overcome the abovementioned difficulties, thereby improving the retrieval accuracy. The main advantage of this method is to make full use of the degree of correlation between the semantic information of the labeled data and unlabeled data. Simultaneously, we combine the linear regression term, correlation analysis term, and feature selection term into a joint cross-media learning framework. Furthermore, the projection matrices are trained with the alternate optimization method. Finally, experimental results on two public datasets demonstrate the effectiveness of the proposed method.

scholarly journals Research on the Optimization Method of Visual Effect of Outdoor Interactive Advertising Assisted by New Media Technology and Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhinan Gan ◽  
Sang-Bing Tsai
Keyword(s):  
Big Data ◽  
New Media ◽  
Emotional Experience ◽  
Optimization Method ◽  
Interactive Design ◽  
Internet Technology ◽  
Visual Effect ◽  
Media Environment ◽  
Communication Method ◽  
Interactive Advertising

Along with the development and promotion of Internet technology, new media are increasingly diversified, enriching and changing our lives. This paper focuses on outdoor interactive advertising as a communication method, analyzing its creative features and applications. Unlike traditional advertising, where audiences receive passively, new media interactive advertising establishes a more direct communication method for consumers and products, creating different sensory stimulation and emotional experience environments according to the characteristics of products and conducting a series of interactions with consumers’ sensory systems such as vision, hearing, smell, taste, and touch. The advertising method has also changed from passive reception to active participation. Finally, combining the characteristics of accurate delivery and the diversity of presentation forms of interactive advertising under the big data platform, the theme conception and form design of interactive advertising is proposed. The interactive design principles of highlighting the simplicity of the theme are explored. The interactive design principle of highlighting the simplicity of the theme is proposed, and the combination of color, text, and graphics is explored by the aesthetic visual design of the audience and the premise of focusing on the audience’s feelings. Starting from the visual effect of outdoor interactive advertising, the change in the way advertising is conveyed is interpreting to us the arrival of a new communication concept, the arrival of the Internet-centered and technology-centered data integration era. The research in this paper aims to provide useful support for the diversified development of outdoor interactive advertising in the new media environment by exploring how to skillfully realize the creative expression of outdoor interactive advertising in the new media environment.

Cross-Media Retrieval Method Based on Space Mapping

2013 ◽  
Vol 756-759 ◽  
pp. 1898-1902
Author(s):  
Xin Xu ◽  
Su Mei Xi
Keyword(s):  
Recall Performance ◽  
Space Mapping ◽  
Multimedia Data ◽  
Retrieval Method ◽  
New Approach ◽  
Cross Media ◽  
Audio Data ◽  
Auditory Features

This paper puts forward a novel cross-media retrieval approach, which can process multimedia data of different modalities and measure cross-media similarity, such as image-audio similarity. Both image and audio data are selected for experiments and comparisons. Given the same visual and auditory features the new approach outperforms ICA, PCA and PLS methods both in precision and recall performance. Overall cross-media retrieval results between images and audios are very encouraging.

Cross-Media Retrieval Method Based on Content Correlations

2009 ◽  
Vol 31 (5) ◽  
pp. 820-826 ◽  
Author(s):  
Hong ZHANG ◽  
Fei WU ◽  
Yue-Ting ZHUANG ◽  
Jian-Xun CHEN
Keyword(s):  
Retrieval Method ◽  
Cross Media

Cross-Media Learning for Image Sentiment Analysis in the Wild

2017 ◽  
Author(s):  
Lucia Vadicamo ◽  
Fabio Carrara ◽  
Andrea Cimino ◽  
Stefano Cresci ◽  
Felice Dell'Orletta ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
Cross Media ◽  
In The Wild ◽  
Media Learning

Big Data and Data Analytics Research

Web Services ◽  
2019 ◽  
pp. 2161-2171
Author(s):  
Miltiadis D. Lytras ◽  
Vijay Raghavan ◽  
Ernesto Damiani
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Business Models ◽  
Internet Technology ◽  
Cognitive Computing ◽  
New Paradigm ◽  
Web Science ◽  
New Business ◽  
Value Propositions

The Big Data and Data Analytics is a brand new paradigm, for the integration of Internet Technology in the human and machine context. For the first time in the history of the human mankind we are able to transforming raw data that are massively produced by humans and machines in to knowledge and wisdom capable of supporting smart decision making, innovative services, new business models, innovation, and entrepreneurship. For the Web Science research, this is a new methodological and technological spectrum of advanced methods, frameworks and functionalities never experienced in the past. At the same moment communities out of web science need to realize the potential of this new paradigm with the support of new sound business models and a critical shift in the perception of decision making. In this short visioning article, the authors are analyzing the main aspects of Big Data and Data Analytics Research and they provide their own metaphor for the next years. A number of research directions are outlined as well as a new roadmap towards the evolution of Big Data to Smart Decisions and Cognitive Computing. The authors do hope that the readers would like to react and to propose their own value propositions for the domain initiating a scientific dialogue beyond self-fulfilled expectations.

A Hierarchical Security Model for Multimedia Big Data

Big Data ◽  
2016 ◽  
pp. 441-453
Author(s):  
Min Chen
Keyword(s):  
Big Data ◽  
Access Control ◽  
Multimedia Data ◽  
Temporal Constraints ◽  
Security Model ◽  
Multimedia Big Data ◽  
Role Hierarchy ◽  
Data Volume ◽  
Spatio Temporal ◽  
Role Based

In this chapter, the author proposes a hierarchical security model (HSM) to enhance security assurance for multimedia big data. It provides role hierarchy management and security roles/rules administration by seamlessly integrating the role-based access control (RBAC) with the object-oriented concept, spatio-temporal constraints, and multimedia standard MPEG-7. As a result, it can deal with challenging and unique security requirements in the multimedia big data environment. First, it supports multilayer access control so different access permission can be conveniently set for various multimedia elements such as visual/audio objects or segments in a multimedia data stream when needed. Second, the spatio-temporal constraints are modeled for access control purpose. Finally, its security processing is efficient to handle high data volume and rapid data arrival rate.

scholarly journals Unpacking China’s Social Credit System: Informatization, Regulatory Framework, and Market Dynamics

2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Lianrui Jia
Keyword(s):  
Big Data ◽  
Population Analysis ◽  
Self Regulation ◽  
The Self ◽  
Internet Technology ◽  
Credit System ◽  
Social Credit ◽  
Internet Users ◽  
Regulatory Data

Background  China, with a population of 802 million internet users, a handful of the world’s largest internet companies, and an unfolding Social Credit System (SCS), is often criticized for exerting its data power to surveil and discipline its population. Analysis  This article first provides a historical and situated analysis of the SCS as a part of China’s informatization and datafication processes. It then highlights problems in the current legal and regulatory data-protection framework and discusses the self-regulation practices of the private sector. Conclusions and implications  Overall, this case study provides a historical and contextualized understanding of China’s SCS and related big data developments and assesses the implications of these development for the globalizing Chinese internet, technology companies and the Chinese public.Contexte  Avec une population de 802 million d’utilisateurs d’Internet, avec quelques des plus grandes sociétés Internet du monde, et une Système de Crédit Sociale (SCS) en pleine développement, La Chine est souvent critiqué pour utilizer son pouvoir de données pour surveiller et discipliner sa population. Analyse  Tout d’abord, cet article fournit une analyse historique et située de la SCS comme partie des processus de informatisation et datafication de la Chine. Ensuite, il souligne les problèmes du cadre juridique et régulatoire actuel en matière de protection des données et examine les pratiques d’autorégulation du secteur privé.Conclusions et implications  En global, cette étude de cas fournit une compréhension historique et contextualisée du SCS chinois et de l’évolution du Big Data, et évalue les implications de ce développement pour l’Internet chinois en pleine mondialisation, les entreprises technologiques et le public chinois.

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