Digital Movies Research Articles

Glimmer Synchronization Of Luciola Parvula Fireflies To External Stimulas

It is known that the Luciola parvula fireflies clearly emit the lights at regular time intervals and synchronization between multiple males are observed, but the details of synchronization have not yet been clarified. Presently, we took videos of the luminescence phenomenon of multiple male Luciola parvula fireflies and performed a correlation analysis on the details of the time change of the luminescence brightness of each male Luciola parvula fireflies. The 12 Luciola parvula fireflies are kept in glass wells so that each Luciola parvula fireflies can only moves in restricted areas and their luminescence is recorded by a digital movie camera at the video rate of 30 fps. According to the preliminary study, each glimmer lasts about 3 frames and thus the time series brightness is fitted by a parabolic function in order to give a precise timing of maximum brightness. First of all, time intervals between glimmers of each Luciola parvula fireflies are evaluated. Secondly, the glimmer correlation between different Luciola parvula fireflies are investigated. As a result, it was clarified that the light emission cycle of Luciola parvula fireflies is almost constant at 0.54 seconds, more than 70% of all light emissions are synchronized and the order of synchronization is almost fixed with very small delay. Consequently, it has been shown quantitatively that the glimmers of male Luciola parvula fireflies are well synchronized.

Quantitative analysis of social influence and digital piracy contagion with differential equations on networks

Illegal file sharing of copyrighted contents through popular file sharing networks poses an enormous threat to providers of digital contents, such as, games, softwares, music and movies. Though empirical studies of network effects on piracy is a well-studied domain, the dynamics of peer effect in the context of evolving social contagion has not been enough explored using dynamical models. In this research, we methodically study the trends of online piracy with a continuous ODE approach and differential equations on graphs to have a clear comparative view. We first formulate a compartmental model to study bifurcations and thresholds mathematically. We later move on with a network-based analysis to illustrate the proliferation of online piracy dynamics with an epidemiological approach over a social network. We figure out a solution for this online piracy problem by developing awareness among individuals and introducing media campaigns, which could be a valuable factor in eradicating and controlling online piracy. Next, using degree-block approximation, network analysis has been performed to investigate the phenomena from a heterogeneous approach and to derive the threshold condition for the persistence of piracy in the population in a steady state. Considering the dual control of positive peer influence and media-driven awareness, we examine the system through realistic parameter selection to better understand the complexity of the dynamics and suggest policy implications.

Digital visualization in graduate transport phenomena

AbstractThe use of contour flood plots and color digital movies is investigated for teaching fluid mechanics, heat transfer, and mass transfer at the first‐year graduate student level. The color visualizations are intended to not only stimulate curiosity but also encourage enthusiasm and determination in learning difficult material. Although there is a significant amount of finite‐difference material, the focus is on analytical solutions. In particular, the mathematical problems involve error functions and Fourier series, which generally prove uninteresting and unpopular. Students are encouraged to produce the visualizations themselves, in addition to being provided with digital results in various forms. Excel can be used to generate both the analytical and finite difference calculations, but Python or another computer language can be employed. While software, such as Matplotlib with Python, Gnuplot, or Tecplot, can create excellent contour flood plots, results from Excel are also good, and Powerpoint will produce movies from individual frames. Student response is positive, although quantifying their reaction is difficult based on the small class sizes. Not surprisingly, the use of color appeals to students and adds to their interest. In addition, students claim increased understanding with contour plots and movies, but the visualizations should be used in conjunction with more traditional graphs, perhaps augmented with consistent use of color. However, the impact on motivation due to color presentation is harder to establish. Interestingly, both graduate and senior undergraduate students showed about equal preference for the rainbow and viridis color palettes.

Research on Virtual Character Behavior Simulation and Control Algorithm in Digital Movie Production

Abstract Aiming at the inefficient design of virtual character behavior in traditional digital movies, this paper proposes to construct a virtual character behavior and control model. The virtual character’s behavior is constructed using a behavior tree, and perception and decision-making behavior models are created to optimize the visual perception of the virtual character. After the behavioral modeling is completed, the action controller is used to generate the character’s behavioral actions, combined with the physical dynamics method to capture the character’s trajectory, and the feedback control theory is applied to output the character’s joint rotation data information to realize the behavioral control of the virtual character. In the digital movie scene design of firefighters fighting and rescuing, the acquisition and execution time of a single behavioral modeling sample of this paper’s virtual character behavioral modeling method is 0.01s~0.03s, and the maximum running iteration time is 63.83s, which is faster than the agent-based behavioral modeling method. Compared to the traditional virtual character behavioral control method, which has an offset of more than 4mm, the virtual character firefighter generated in this paper has an offset of less than 0.3mm, which provides better control accuracy.

The Use of Digital Media Arts in Animation Filmmaking in the Age of Digital Intelligence

Abstract The development of digital media art has brought a broader application prospect for the production of digital animation movies. The incorporation of Digital Media Arts into Animation Filmmaking during the Age of Digital Intelligence The DTW algorithm is selected to temporally regularize and align the motion data of the animated character, and the motion model is downsized and optimized by combining with the PCA method, to obtain the motion sequence with the characteristics of the animated character itself. The multi-scale method is utilized to decompose the original motion data when combined with motion capture technology to establish a 3D motion database. Analyze the motion connection curves between different video clips and the generated animation data after and before motion modeling using the 3D motion database of broadcast gymnastics. Analyzing the drawing efficiency of virtual character models is done using an ordinary human character model with different voxel accuracy. Before the motion library modeling, the average joint error measured in degrees was 10.012°, as indicated by the data. The modeling procedure results in a reduction of the average joint error to 4.281°. The accuracy of animated character generation motion can be improved by using motion modeling. Character motion generation suggestions for animated movie production are provided in this study.

Research on the Creative Performance of Digital Film and Television Works Based on Virtual Reality Technology

Abstract This study investigates the application of virtual reality technology in the creative expression of digital film and television productions, especially the role of EEG signal denoising and feature recognition methods in enhancing the audience experience. The study uses wavelet threshold denoising and parallel RLS adaptive filtering algorithms to process EEG signals to improve the accuracy and reliability of the data. Then, the EEG signals were feature extracted using a bihemispheric domain adversarial neural network (BiDANN) to more accurately recognize the user’s emotional responses. The experimental results show that in the virtual reality environment, the users’ concentration and emotional reactions are significantly improved, with the average concentration reaching 74.21 and the average value of the electrodermal test data being 6.19. In addition, the eye-movement interaction experiments show that different types of digital movie and television works can cause additional attention allocation of users in the VR environment, leading other creative performance effects. The study’s results prove that virtual reality technology can significantly enhance the innovative performance of digital movie and television works and improve the audience’s viewing experience.

Değişen Dijital Medya Çağında Değiş(e)meyen Toplumsal Cinsiyet Rolleri: Femme Fatale Bağlamında Bir Netflix Dizisi Olan Lucifer’e Dair Bir İnceleme

Cinema and television series have been functioning as a sort of mirror of almost all societies since their first invention on the ground that they cover various topics concerning human beings. Cinematic thoughts, experiences, and digital and visual images in Television series accompany nearly all transformations which have taken place in any community. However, some issues such as gender roles or stereotypes related to women have not changed positively even though mass media and digital tools in media have been altering considerably and radically. In the digital media era, it is still crystal clear that women have been portrayed as inferior compared to man depiction. In this context, the main aim of this study is to accentuate this issue and emphasize the gender gap and changeless woman roles in changing the digital media age. In line with this purpose, the well-known Netflix series Lucifer has been studied in terms of the notorious character femme fatale with the help of descriptive analysis and it has been seen that woman figures have been depicted as derogatory and diabolic in Lucifer. Thence, it is possible to allege that shifting digital movie and broadcasting trends do not have a noteworthy effect on the representation of women in the cinematic universe.

Study on the aesthetic laws of VR digital media art on the reception of film art

Abstract To improve the level of film creation, pull up the technology of VR technology applied in film creation, enhance the aesthetic satisfaction of film viewers to film art, and promote the peaceful development of the film market. In this paper, we study the aesthetics of film art from the viewers’ evaluation of the film after the application of VR digital media art to film and the change of film expression in the film industry to summarize the aesthetic law of audience acceptance of film art. According to the study, 85.90% of the audiences are very fond of VR digital media movie art and are willing to go to the cinema to experience the audio-visual enjoyment of VR movies. 79.65% of the audiences think that VR digital application in movies enhances the impact of movie images and the aesthetic pleasure of watching movies. Among all the survey groups, the college student group has the highest love for the combination of VR technology and movies, at 92.60%. It can be seen that VR digital media art has won unanimous praise in the current movie market, and grasping the aesthetic rules of movie watchers can better create good movies that meet the aesthetic needs of the public, stimulate the vitality of the movie market, and enrich the spiritual and cultural life of the people.

From Movie Theaters to Online Platforms: A Study on the Impact of Digital Movie Platforms on Movie-Watching Habits

Henüz dijital teknolojilerin pek gelişmediği yıllarda farklı toplumsal gruplardan insanların sinema salonlarında bir arada film izlemeleri 20. yüzyılın önemli aktivitelerindendi. Sinema salonları, geçmiş yüzyılda kitlelerin en büyük eğlence ve sosyal aktivite ortamı işlevi görüyordu. Dijitalleşmenin bütün dünyada hız kazanması, uydu teknolojisindeki ilerlemeler, özel televizyon yayınları, kablolu televizyon ve radyo yayınları, bilgisayar kullanımının yaygınlaşması, dijital medya teknolojilerin ve internetin giderek yaygınlık kazanması toplumu ciddi değişim-dönüşüm sürecine sokmuştur. Bununla birlikte, internet ortamında dijital film platformlarının ortaya çıkmasıyla sinema seyircisi salonlardan uzaklaşıp ev ortamlarında film izlemeye başlamıştır. Salonlardan çevrimiçi ortamlara, dijital sinema platformlarının film izleme alışkanlıklarına olan etkisini konu alan bu çalışma 1960-2000 yılları arasında doğmuş bireylerle sınırlandırılmıştır. Bu bireyler dijital göçmenler ve dijital yerliler olmak üzere iki kategoride incelenmiştir. Bu bağlamda çalışmanın amacı, sinema izleme pratiklerinin ne şekilde değiştiğini ve bu durumun demografik profile göre değişkenlik gösterip göstermediğinin belirlenmesidir. Çalışmanın anket verilerinden elde edilen bulgulara göre; katılımcıların dijital platformlarda film izleme pratiklerinin cinsiyete ve yaşa göre farklılık gösterdiği, çoğunluğun dijital ortamda film izlediği, yarısından fazlasının son 6 ayda sinema salonunda hiç film izlemediği ve yarıya yakınının ise dijital platformlarda haftada en az bir film izlediği belirlenmiştir.

3D-printed device for the kinetic determination of As(III) in groundwater samples by digital movie analysis

High concentrations of inorganic arsenic in groundwater for human consumption is a worldwide common problem. Particularly, the determination of As(III) becomes important, since this species is more toxic than organic, pentavalent and elemental arsenic forms. In this work, a 3D-printed device that included a 24-well microplate was developed to perform the colourimetric kinetic determination of arsenic (III) by digital movie analysis. A smartphone camera attached to the device was used to take the movie during the process where As(III) inhibited the decolourization of methyl orange. The movie images were subsequently transformed from RGB to YIQ space to obtain a new analytical parameter called “d”, which was related to the chrominance of the image. Then, this parameter allowed the determination of the inhibition time of reaction (tin), which was linearly correlated with the concentration of As(III). A linear calibration curve (R = 0.9995) in the range from 5 μg L−1 to 200 μg L−1 was obtained. The method was precise (RSD = 1.2%), and the limits of detection (LOD) and quantification (LOQ) were 1.47 μg L−1 and 4.44 μg L−1, respectively. These values were lower than the limit established by the World Health Organization for total arsenic in drinking water (10 μg L−1). The accuracy of the method was assessed by a recovery study with optimal results (94.3%–104.0%). Additionally, the Analytical GREEnness metric approach was applied, obtaining a score 1.7 times higher than previously published works. The method is simple, portable and low-cost, being in compliance with various principles of green analytical chemistry.

Review of audio deepfake detection techniques: Issues and prospects

AbstractIn the past years, multimedia content has improved in realism and plausibility owing to the development of deep learning techniques, particularly the generative adversarial networks and variational auto‐encoders. Though digital content, especially digital movies shot from a certain viewpoint gives a true representation of reality, yet the ubiquitous usage of content manipulation techniques casts doubt on its veracity. Deepfaking an AI based tampering technique, is able to map facial and acoustic features of a source person onto the target with an intention to make target say or enact the things that has not happened in real. Numerous approaches have been proposed in the literature for detection of image and video deepfakes. With technological advancement, researchers have also started to examine audio deepfakes and ways to detect them. As there is currently no comprehensive overview of audio deepfake generation and detection techniques, this paper aims to provide a survey of the relevant literature in this area. This survey paper intends to help research fraternity about the available audio generation and detection approaches for design of reliable detection models in future to classify fake and real audios.

ЗАСТОСУВАННЯ ПЛАТФОРМ ЦИФРОВОГО ПІДПРИЄМНИЦТВА У МАЛОМУ ТА СЕРЕДНЬОМУ БІЗНЕСІ

In modern conditions of development, digital platforms in small and medium-sized businesses began to be widely used during the development of Industry-4.0 globalization. Modern studies define digital platforms as an electronic environment that includes a general set (list) of goods and services with a corresponding digital configuration. Examples of digital platforms are: digital music platform "Spotify" or "iTunes", digital movie platform "Netflix", etc. The article established that from the point of view of the economy, digital platforms are auxiliary electronic environments (markets) on which sellers and buyers buy and sell goods. And digital entrepreneurship is also considered as the process of creating a new Internet business. In the process of research, it was established that thanks to the spread of digital platforms, entrepreneurs have opportunities to stimulate innovation to create new products or services. In the framework of Industry 4.0, globalization and digitalization have created some benefits for participants based on digital platforms. First of all, through digital platforms, manufacturers can assess buyers and end consumers without going through intermediaries. Also, digital platforms allow sellers to display their products in virtual shopping centers through a website, and consumers can view product information at a time and place convenient for them. It has been proven that small and medium-sized enterprises are one of the main engines of the modern economy, which contribute to the development of the country's economy, the creation of income, employment and innovation in various fields. Small and medium-sized enterprises are the key to economic growth and market competition in most developed economies due to their flexibility and ability to innovate. According to the results of the conducted research, it is confirmed that the use of digital tools and platforms helps small and medium-sized businesses to determine the right direction for improving the efficiency of small and medium-sized enterprises within the framework of Industry 4.0 and digitalization trends. After all, the activity of small and medium-sized business enterprises directly affects the total GDP of the country. Thus, the subject of further research is the study of factors that can increase the productivity of small and medium-sized business enterprises, which is important in determining the directions of the future development of small and medium-sized business enterprises. In addition, within the framework of Industry-4.0. SMEs must take advantage of globalization and digitalization to perform better and achieve greater competitive advantages.

ЗАСТОСУВАННЯ ПЛАТФОРМ ЦИФРОВОГО ПІДПРИЄМНИЦТВА У МАЛОМУ ТА СЕРЕДНЬОМУ БІЗНЕСІ

In modern conditions of development, digital platforms in small and medium-sized businesses began to be widely used during the development of Industry-4.0 globalization. Modern studies define digital platforms as an electronic environment that includes a general set (list) of goods and services with a corresponding digital configuration. Examples of digital platforms are: digital music platform "Spotify" or "iTunes", digital movie platform "Netflix", etc. The article established that from the point of view of the economy, digital platforms are auxiliary electronic environments (markets) on which sellers and buyers buy and sell goods. And digital entrepreneurship is also considered as the process of creating a new Internet business. In the process of research, it was established that thanks to the spread of digital platforms, entrepreneurs have opportunities to stimulate innovation to create new products or services. In the framework of Industry 4.0, globalization and digitalization have created some benefits for participants based on digital platforms. First of all, through digital platforms, manufacturers can assess buyers and end consumers without going through intermediaries. Also, digital platforms allow sellers to display their products in virtual shopping centers through a website, and consumers can view product information at a time and place convenient for them. It has been proven that small and medium-sized enterprises are one of the main engines of the modern economy, which contribute to the development of the country's economy, the creation of income, employment and innovation in various fields. Small and medium-sized enterprises are the key to economic growth and market competition in most developed economies due to their flexibility and ability to innovate. According to the results of the conducted research, it is confirmed that the use of digital tools and platforms helps small and medium-sized businesses to determine the right direction for improving the efficiency of small and medium-sized enterprises within the framework of Industry 4.0 and digitalization trends. After all, the activity of small and medium-sized business enterprises directly affects the total GDP of the country. Thus, the subject of further research is the study of factors that can increase the productivity of small and medium-sized business enterprises, which is important in determining the directions of the future development of small and medium-sized business enterprises. In addition, within the framework of Industry-4.0. SMEs must take advantage of globalization and digitalization to perform better and achieve greater competitive advantages.

Digital storytelling: A proposed creative therapeutic intervention for bereaved families

Digital storytelling is a qualitative visual research method that is becoming increasingly popular. It is based on collaboratively creating short digital movies conveying participants’ stories which can also be presented to the public, and represents not only a research method but also a beneficial therapeutic tool for both adults and children. Within the context of psychotherapy, digital storytelling has helped individuals to connect not only at an intrapersonal level, but also at an interpersonal level, and has been a valuable part of the healing process. Based on these promising findings, this article presents a proposed creative intervention for bereaved families based on digital storytelling together with a dance-movement activity. The steps are outlined, and the goal of this intervention is to help the bereaved to build resilience, to process their grief and to heal together as a community. The implications for practice are then discussed.

Factors Influencing the Types of Merchandise Purchased Online: Evidence From the 2018 California Survey of Emerging Transportation Trends

Understanding consumer preferences has become increasingly important with the growth of e-commerce. This study leverages the 2018 California Panel Study of Emerging Transportation Trends to analyze the factors that influence consumer decisions to purchase different merchandise online. Diffusion of innovations theory and efficient market hypothesis guide the execution of our research. According to our findings, two hypotheses can explain the links between neighborhood characteristics and online shopping frequency for different types of merchandise: 1) Physical books and DVDs, 2) E-books, digital movies, TV shows, 3) Clothing, shoes, 4) Groceries, fresh produce, flowers, and 5) Electronics. People's online purchasing behaviors are significantly influenced by sociodemographic traits. Online shopping is less popular among people who drive more frequently. The research results can provide valuable insights and help assess the impacts of e-shopping behaviors.

Learning-based Framework for Color Conversion between Digital Cinema Package and Streaming Movie

Humans feel different experiences when viewing a cinema at the theater and home. This paper presents methods to reduce the difference in the viewing experience. Based on the workflow of digital cinema distribution, the proposed method attempts to minimize the color difference between digital cinema packages (DCP) for the theater and streaming movies. For end-to-end mapping between the DCP and streaming movie, this paper proposes a convolutional neural network (CNN)-based color conversion algorithm based on the SMPTE standard. The proposed method consists of three steps: i) color conversion using standard matrices, ii) color conversion using the CNN, and iii) color saturation error removal by fusing the results in steps i) and ii). The proposed method enhances the color of TV streaming images because it minimizes the color difference from the DCP and appropriately extends the color gamut. As a result, the proposed method can provide consumers with indistinguishable quality from a DCP movie at the theater.

Application of New Media Big Data in Visual Performance of Axonometric Illustration.

With the rapid development of Internet technology today, especially in the fields of new media, digital TV, digital movies, smartphones, smart hardware, mobile Internet and big data, new media forms bring us a shocking sensory experience. Axonometric illustration, a traditional and modern artistic expression, is becoming more and more attractive in the new media era. Today, with the continuous progress of science and technology, the continuous innovation of thinking, and the rapid improvement of public aesthetics, traditional axonometric illustrations have been unable to adapt to the gradual improvement of people's needs for artistic aesthetics. This paper will start from the research background of “new media” and combine the characteristics of the axonometric illustration industry itself. On the basis of analyzing related theories at home and abroad, the literature research method and algorithm-driven method are used comprehensively. It can not only effectively improve the visual effect of axonometric illustration by 12.3% but also solve the problems and challenges faced by the current China's axonometric illustration industry.

Liquid crystal research at Tsinghua University in the 1970s and 1980s

Liquid crystal (LC) research in China started during the Cultural Revolution years in the late 1960s. It was motivated partly by the potential application in liquid-crystal display (LCD) digital television (TV) and movies, deemed good for the government’s political propaganda agenda. The large-screen LCD TV/ movie project was initiated and done at the Tsinghua University, Beijing, which became successful in 1976 with prototypes built. Although it never reached the commercial stage, the research achievement was world-leading then. Here, the history of this project and other LC research at the Tsinghua University in the 1970s and 1980s are described for the first time, with appropriate historical backgrounds provided. Tsinghua’s significant contributions in basic LC research and a description of the founding and workings of the Chinese Liquid Crystal Society are also included. Finally, lessons drawn from this piece of science history are presented.

Exclusivity strategies for digital products across digital and physical markets

Digital technologies allow versioning a product (e.g., a movie) for different physical and digital sequential distribution channels to target heterogeneous consumer segments, thereby creating exclusive offers. Extant literature on sequential distribution for movies largely concentrates on the theater-to-home-video window length (e.g., DVD), thus, neglecting digital distribution channels, particularly the potential of exclusive digital offers when multiple subsequent home video channels are available. We empirically examine the impact of exclusive digital movie offers on demand in digital and physical distribution channels. We fit a system of equations to a unique sample of 260 movies distributed in theaters, digital purchases, digital rentals, and physical purchases channels. Overall, the results indicate substantial profits from exclusive offers. Rather than sales cannibalizations, we find positive cross-channel demand spillovers from exclusive digital offers to delayed physical purchases. Exclusive home video offers outperform mere reductions in the theatrical exclusivity period; thus, implementing exclusive digital home video releases is a promising alternative to avoid conflict-prone reductions of the overall theater-to-home-video release window. Our findings are also relevant to industries that use different online and offline release windows (book publishers) or give exclusive access across different platforms (game publishers).

Estimating the Costs of Standardization: Evidence from the Movie Industry

AbstractThis article studies the decentralized adoption of a technology standard when network effects are present. If the new standard is incompatible with the current installed base, adoption may be inefficiently delayed. I quantify the magnitude of “excess inertia” in the switch of the movie distribution and exhibition industries from 35 mm film to digital. I specify and estimate a dynamic game of digital hardware adoption by theatres and digital movies supply by distributors. Counterfactual simulations establish that excess inertia reduces surplus by $16\%$ relative to the first-best adoption path; network externalities explain $41\%$ of the surplus loss. Targeted adoption subsidies or a mandate on digital distribution help bridge this welfare gap.