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

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.

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

Mobile Information Systems ◽

10.1155/2021/9947644 ◽

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.

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Research on News Editing Skills of Radio Stations Based on New Media Era

Insight - News Media ◽

10.18282/inm.v2i1.315 ◽

2020 ◽

Vol 2 (1) ◽

pp. 18

Author(s):

Qingli Meng

Keyword(s):

New Media ◽

Vital Role ◽

Current Situation ◽

Internet Technology ◽

Continuous Development ◽

Paper Briefly ◽

Television Industry ◽

Media Environment ◽

Radio Stations ◽

Further Development

<p>With the continuous development of Internet technology, the development of radio stations has encountered great challenges. Facing the current situation, how to effectively deal with the news gathering and editing work plays a vital role in the further development of radio stations. For this reason, this paper briefly analyzes the news editing skills of radio stations under the new media environment, with a view to providing some references for the radio and television industry.</p>

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Big data in the new media environment

Behavioral and Brain Sciences ◽

10.1017/s0140525x13001672 ◽

2014 ◽

Vol 37 (1) ◽

pp. 94-95 ◽

Cited By ~ 3

Author(s):

Matthew Brook O'Donnell ◽

Emily B. Falk ◽

Sara Konrath

Keyword(s):

Social Psychology ◽

Decision Making ◽

Big Data ◽

New Media ◽

Media Environment ◽

The Social ◽

Social Scientific ◽

Four Quadrant ◽

Socially Motivated ◽

East West

AbstractBentley et al. argue for the social scientific contextualization of “big data” by proposing a four-quadrant model. We suggest extensions of the east–west (i.e., socially motivated versus independently motivated) decision-making dimension in light of findings from social psychology and neuroscience. We outline a method that leverages linguistic tools to connect insights across fields that address the individuals underlying big-data media streams.

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Analysis of the Response Mechanism of College Student Education Management in the New Media Environment

Lifelong Education ◽

10.18282/le.v9i6.1282 ◽

2020 ◽

Vol 9 (6) ◽

pp. 13

Author(s):

Weili Ding

Keyword(s):

New Media ◽

Internet Technology ◽

Higher Education Management ◽

Effective Response ◽

Media Environment ◽

Education Management ◽

Media Technologies ◽

Student Education ◽

The Times ◽

Management Staff

The continuous improvement of Internet technology has ushered in the era of new media. At the same time, various new media technologies have also brought important effects on different industries. Therefore, colleges and universities need to keep abreast of the development requirements of the times when conducting student education management work, and be able to find effective response mechanisms in the ever-changing new media environment. This article starts from multiple angles and explores the specific ways of higher education management under the background of new media, hoping to provide valuable management experience for other school education management staff.

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