Pulse rate estimation based on facial videos:an evaluation and optimization of the classical methods using both self-constructed and public datasets

Pulse rate is one of the important characteristics of traditional Chinese medicine pulse diagnosis,and it is of great significance for determining the nature of cold and heat in diseases.The prediction of pulse rate based on facial video is an exciting research field for getting palpation information by observation diagnosis.However,most studies focus on optimizing the algorithm based on a small sample of participants without systematically investigating multiple influencing factors.A total of 209 participants and 2,435 facial videos,based on our self-constructed Multi-Scene Sign Dataset and the public datasets,were used to perform a multi-level and multi-factor comprehensive comparison.The effects of different datasets,blood volume pulse signal extraction algorithms,region of interests,time windows,color spaces,pulse rate calculation methods,and video recording scenes were analyzed.Furthermore,we proposed a blood volume pulse signal quality optimization strategy based on the inverse Fourier transform and an improvement strategy for pulse rate estimation based on signal-to-noise ratio threshold sliding.We found that the effects of video estimation of pulse rate in the Multi-Scene Sign Dataset and Pulse Rate Detection Dataset were better than in other datasets.Compared with Fast independent component analysis and Single Channel algorithms,chrominance-based method and plane-orthogonal-to-skin algorithms have a more vital anti-interference ability and higher robustness.The performances of the five-organs fusion area and the full-face area were better than that of single sub-regions,and the fewer motion artifacts and better lighting can improve the precision of pulse rate estimation.

MarkINeRV: A Robust Watermarking Scheme for Neural Representation for Videos Based on Invertible Neural Networks

Recent research advances in implicit neural representation have shown that a wide range of video data distributions are achieved by sharing model weights for Neural Representation for Videos(NeRV).While explicit methods exist for accurately embedding ownership or copyright information in video data,the nascent NeRV framework has yet to address this issue comprehensively.In response,this paper introduces MarkINeRV,a scheme designed to embed watermarking information into video frames using an invertible neural network watermarking approach to protect the copyright of NeRV,which models the embedding and extraction of watermarks as a pair of inverse processes of a reversible network and employs the same network to achieve embedding and extraction of watermarks.It is just that the information flow is in the opposite direction.Additionally,a video frame quality enhancement module is incorporated to mitigate watermarking information losses in the rendering process and the possibility ofmalicious attacks during transmission,ensuring the accurate extraction of watermarking information through the invertible network’s inverse process.This paper evaluates the accuracy,robustness,and invisibility of MarkINeRV through multiple video datasets.The results demonstrate its efficacy in extracting watermarking information for copyright protection of NeRV.MarkINeRV represents a pioneering investigation into copyright issues surrounding NeRV.

How Rustic Videos Influence Youth’s Linguistic Expression: An Analysis Based on Semiotics, Meme Theory and Media Spectacle Theory

The surge in popularity of rustic videos has spawned a great number of Internet memes, such as Internet trendy words growing from dialects and strange pronunciations, picture memes made from video screenshots, and mesmerizing music with a vernacular flavor. Due to their reproducibility, social interaction, and involvement, these rustic videos adhere to the fundamental logic of the propagation of online memes. Rustic videos are widely disseminated as online memes on TikTok (the Chinese version), are often reproduced and used by young people in social contact, and have become a unique linguistic symbol in modern internet culture. As a symbolic carrier that transports the consciousness of the video creator and viewer, it is widely employed in the communication and engagement of young people on a regular basis, progressively altering their linguistic expression. This specific semiotic interaction has deconstructed and recreated the conventional media culture spectacle. This research examines the influence of rustic videos on TikTok on the linguistic expressions of modern youth from the perspectives of meme theory and semiotics, as well as the impact of rustic videos on the media spectacle from the standpoint of media spectacle theory. It also examines in depth the effects of the popularity of rustic videos on China’s economy and culture.

A Multimodal Critical Discourse Analysis of Lingnan Cultural Promotional Videos on Social Media

In recent years,more and more directors of culture and tourism have taken part in the promotion of local cultural tourism by cross-dressing,talent shows,and pushing their limits on self-media platforms.This study investigates short videos of Lingnan culture promoted by directors general and deputy directors general of the Culture,Radio,Television,Tourism,and Sports Bureau of counties and cities in Guangdong Province on social media by the method of multimodal critical discourse analysis.The analysis of 33 videos shows that Lingnan culture is a domineering and confident culture,historical culture,graceful and elegant culture,and vibrant and active culture.Domineering and confident culture is embedded in the utterances and behaviors of the directors general or deputy directors general in the video.Historical culture is realized through the conversation with historical figures through time travel.Graceful and elegant culture is constructed in the depiction of sceneries and the depiction of characters’manners.Vibrant and active culture is represented in the depiction of the characters’actional process and analytical process.

The Discourse-Historical Approach of Identity Construction in Corporate Promotional Videos for External Publicity Image

Corporate identity construction of external publicity image is an important part of the development of enterprises.Based on Wodak’s discourse-historical approach,this study takes the text of COFCO’s English promotional video as the research object,analyzes the corporate brand image,media image,organizational image,and environmental image constructed by the enterprises from three steps:linguistic expression,discourse strategy,and theme to provide references for Chinese enterprises to enhance their international influence.

Utilizing spatio-temporal feature fusion in videos for detecting the fluidity of coal water slurry

The fluidity of coal-water slurry(CWS)is crucial for various industrial applications such as long-distance transportation,gasification,and combustion.However,there is currently a lack of rapid and accurate detection methods for assessing CWS fluidity.This paper proposed a method for analyzing the fluidity using videos of CWS dripping processes.By integrating the temporal and spatial features of each frame in the video,a multi-cascade classifier for CWS fluidity is established.The classifier distinguishes between four levels(A,B,C,and D)based on the quality of fluidity.The preliminary classification of A and D is achieved through feature engineering and the XGBoost algorithm.Subsequently,convolutional neural networks(CNN)and long short-term memory(LSTM)are utilized to further differentiate between the B and C categories which are prone to confusion.Finally,through detailed comparative experiments,the paper demonstrates the step-by-step design process of the proposed method and the superiority of the final solution.The proposed method achieves an accuracy rate of over 90%in determining the fluidity of CWS,serving as a technical reference for future industrial applications.

Estimation of peak wave period from surface texture motion in videos

Wave information retrieval from videos captured by a single camera has been increasingly applied in marine observation.However,when the camera observes ocean waves at low grazing angles,the accurate extraction of wave information from videos will be affected by the interference of the fine ripples on the sea surface.To solve this problem,this study develops a method for estimating peak wave periods from videos captured at low grazing angles.The method extracts the motion of the sea surface texture from the video and obtains the peak wave period via the spectral analysis.The calculation results captured from real-world videos are compared with those obtained from X-band radar inversion and tracking buoy movement,with maximum deviations of 8%and 14%,respectively.The analysis of the results shows that the peak wave period of the method has good stability.In addition,this paper uses a pinhole camera model to convert the displacement of the texture from pixel height to actual height and performs moving average filtering on the displacement of the texture,thus conducting a preliminary exploration of the inversion of significant wave height.This study helps to extend the application of sea surface videos.

Practical Privacy-Preserving ROI Encryption System for Surveillance Videos Supporting Selective Decryption

With the advancement of video recording devices and network infrastructure,we use surveillance cameras to protect our valuable assets.This paper proposes a novel system for encrypting personal information within recorded surveillance videos to enhance efficiency and security.The proposed method leverages Dlib’s CNN-based facial recognition technology to identify Regions of Interest(ROIs)within the video,linking these ROIs to generate unique IDs.These IDs are then combined with a master key to create entity-specific keys,which are used to encrypt the ROIs within the video.This system supports selective decryption,effectively protecting personal information using surveillance footage.Additionally,the system overcomes the limitations of existing ROI recognition technologies by predicting unrecognized frames through post-processing.This research validates the proposed technology through experimental evaluations of execution time and post-processing techniques,ensuring comprehensive personal information protection.Guidelines for setting the thresholds used in this process are also provided.Implementing the proposed method could serve as an effective solution to security vulnerabilities that traditional approaches fail to address.

Research on Strategies for Enhancing the Ability of Chinese German Learners to Tell Chinese Stories Through Short Videos

In the age of new media,short videos play an increasingly important role in international cultural exchange.However,German learners often encounter challenges when producing and sharing short videos due to factors such as technology and language proficiency.Such challenges can affect the professionalism and attractiveness of the videos.This study focuses on German learners at the University of Shanghai for Science and Technology.The aim of this study is to investigate students’experiences in producing short videos,identify issues through surveys and interviews,and concentrate on editing skills,language proficiency,and intercultural communication abilities.It proposes strategies for developing these skills and aims to provide insights for German and other foreign language learners in telling Chinese stories using short videos.

The Impact of Short Media Videos on Urban Tourism Marketing:Taking Zibo and Xi'an as Examples

In the era of new media,short videos as an innovative means of communication have led to significant changes in the promotion strategies of tourist cities.The prosperity of the tourism industry has a significant driving effect on local economic growth,and marketing strategies are the key to the progress of the tourism industry.Through efficient marketing methods,the visibility of tourist attractions and cities can be significantly improved,thereby attracting more tourists and injecting new vitality into the local tourism industry and the overall economy.At present,with the rapid development of short video platforms such as TikTok and the sharp increase in the number of users,short video marketing has gradually received widespread attention from industry professionals and the general public.Some cities have achieved good results in tourism marketing implemented with the help of short video platforms,prompting more cities to use short videos for marketing activities.However,short videos also negatively impact urban tourism marketing,reducing the appeal of TikTok marketing to audiences.Therefore,this article conducts in-depth research on the impact of short video media on urban tourism marketing,elaborates on the advantages,analyzes the impact,proposes strategies for the application,and hopes to provide a reference for cities to use short videos for tourism marketing.

Application Progress of Teaching in the Form of Traffic Short Videos in Nursing Education

With the rapid development of the information technology era,the teaching quality requirements continue to surge,and the mode of education in colleges and universities has also carried out certain innovations.The integration of modern information technology into the teaching process and the combination of medical content has become a new hotspot for reform and innovation of medical education at home and abroad.In this paper,we will describe the application of traffic short videos as the main teaching form in nursing education in domestic and foreign studies,and the role of the application of this teaching form in the improvement of theoretical knowledge and clinical skills of nursing students,as well as the impact on the cultivation of nursing students’professional cognition,communication skills,critical thinking,etc.,with the aim of providing new perspectives for the subsequent nursing education.

A Study on Rural Cultural Communication of Short Videos From the Perspective of Mediation-Taking the Popularization of “Village BA” (Village Basketball Association) in Qiandongnan as an Example

With the rise of new media and short videos shaping the new communication environment,rural culture has been mediated and transformed to spread to a wider region.As a cultural achievement of rural revitalization,“Village BA”(Village Basketball Association)demonstrates Chinese modernization.The use of short videos,mass rural movements,and“spectacle”spaces to attract spectators has become a key issue in the dissemination of rural culture.

Automatic Feature Point Detection and Tracking of Human Actions in Time-of-flight Videos

Detecting feature points on the human body in video frames is a key step for tracking human movements. There have been methods developed that leverage models of human pose and classification of pixels of the body image. Yet, occlusion and robustness are still open challenges. In this paper, we present an automatic, model-free feature point detection and action tracking method using a time-of-flight camera. Our method automatically detects feature points for movement abstraction. To overcome errors caused by miss-detection and occlusion, a refinement method is devised that uses the trajectory of the feature points to correct the erroneous detections. Experiments were conducted using videos acquired with a Microsoft Kinect camera and a publicly available video set and comparisons were conducted with the state-of-the-art methods. The results demonstrated that our proposed method delivered improved and reliable performance with an average accuracy in the range of 90 %.The trajectorybased refinement also demonstrated satisfactory effectiveness that recovers the detection with a success rate of 93.7 %. Our method processed a frame in an average time of 71.1 ms.

Educational Videos Subtitles’Summarization Using Latent Dirichlet Allocation and Length Enhancement

Nowadays,people use online resources such as educational videos and courses.However,such videos and courses are mostly long and thus,summarizing them will be valuable.The video contents(visual,audio,and subtitles)could be analyzed to generate textual summaries,i.e.,notes.Videos’subtitles contain significant information.Therefore,summarizing subtitles is effective to concentrate on the necessary details.Most of the existing studies used Term Frequency-Inverse Document Frequency(TF-IDF)and Latent Semantic Analysis(LSA)models to create lectures’summaries.This study takes another approach and applies LatentDirichlet Allocation(LDA),which proved its effectiveness in document summarization.Specifically,the proposed LDA summarization model follows three phases.The first phase aims to prepare the subtitle file for modelling by performing some preprocessing steps,such as removing stop words.In the second phase,the LDA model is trained on subtitles to generate the keywords list used to extract important sentences.Whereas in the third phase,a summary is generated based on the keywords list.The generated summaries by LDA were lengthy;thus,a length enhancement method has been proposed.For the evaluation,the authors developed manual summaries of the existing“EDUVSUM”educational videos dataset.The authors compared the generated summaries with the manual-generated outlines using two methods,(i)Recall-Oriented Understudy for Gisting Evaluation(ROUGE)and(ii)human evaluation.The performance of LDA-based generated summaries outperforms the summaries generated by TF-IDF and LSA.Besides reducing the summaries’length,the proposed length enhancement method did improve the summaries’precision rates.Other domains,such as news videos,can apply the proposed method for video summarization.

A Wipe Transition Detection Approach Using Macroblock Type Information for MPEG Videos

A new wipe transition detection approach was proposed. By analyzing the spatial-temporal characteristics of an ideal wipe production model, the concept of wipe transition strip (TS) was introduced. The macroblock type information of P-frames is used to extract TS regions. An improved TS region accumulation technique is performed for detecting and verifying wipe transitions. The experimental results indicate that the proposed approach is capable of detecting various wipe transitions quickly and accurately.

Deep Learning Based Target Tracking and Classification for Infrared Videos Using Compressive Measurements

Although compressive measurements save data storage and bandwidth usage, they are difficult to be used directly for target tracking and classification without pixel reconstruction. This is because the Gaussian random matrix destroys the target location information in the original video frames. This paper summarizes our research effort on target tracking and classification directly in the compressive measurement domain. We focus on one particular type of compressive measurement using pixel subsampling. That is, original pixels in video frames are randomly subsampled. Even in such a special compressive sensing setting, conventional trackers do not work in a satisfactory manner. We propose a deep learning approach that integrates YOLO (You Only Look Once) and ResNet (residual network) for multiple target tracking and classification. YOLO is used for multiple target tracking and ResNet is for target classification. Extensive experiments using short wave infrared (SWIR), mid-wave infrared (MWIR), and long-wave infrared (LWIR) videos demonstrated the efficacy of the proposed approach even though the training data are very scarce.

Real-time and Automatic Close-up Retrieval from Compressed Videos

This paper proposes a thorough scheme, by virtue of camera zooming descriptor with two-level threshold, to automatically retrieve close-ups directly from moving picture experts group （MPEG） compressed videos based on camera motion analysis. A new algorithm for fast camera motion estimation in compressed domain is presented. In the retrieval process, camera-motion-based semantic retrieval is built. To improve the coverage of the proposed scheme, close-up retrieval in all kinds of videos is investigated. Extensive experiments illustrate that the proposed scheme provides promising retrieval results under real-time and automatic application scenario.

＂They Are Kind of Like Magic＂ Why U.S. Mothers Use Baby Videos With 12- to 24-Month-Olds

Although the American Academy of Pediatrics （AAP） recommends no ＂screen time＂ for children under age of two, parents in the US are ignoring this edict. Routinely, mothers are exposing their babies to media crafted specifically for this age group. This study seeks to ascertain the reason. What beliefs do mothers hold regarding the marketing of such media and the expected benefits to their young ones？ How does the use of videos such as Baby Einstein benefit the mother？ Although mothers reported that video creators want them to think the videos are educational, they are skeptical. However, they continue to let babies watch this ＂safe＂ content. Among the 28 mothers interviewed for this project, only four claimed to always watch with their child; the remainder used ＂video time＂ to do household chores. Overwhelmingly, mothers heard positive comments about videos from fellow parents, but rarely heard from their pediatricians about possible negative effects on the under-two＇ s.

Images of Women in Nigerian Home Videos： An Impact Assessment

This research is about the relationship between Nigerian home videos production, women and cultural ideologies. It is general agreed that there is a sexist problem which has dominated the entire mass media. The study researches that an impact assessment of the images of women in Nigerian home videos is designed to examine the sway Nigerian home videos portrayal of women have on women＇s position and status in the society. The study also investigates the influence of home videos on women＇s and girl＇s perception of themselves and its effect on their development potentials. With 300 respondents drawn from a select range of home videos viewers, a survey research was designed using Awka-urban, Capital of Anambra State, Nigeria as the research area and finds a negative perception of women as regards their image portrayal in the home videos by the viewers. However, this image portrayal has a negative effect on the development potentials of women and that of girl child and as well reflects on how women are seen and treated in Nigerian society.

Basic Concepts for Alternating Current through Educational Videos

This article highlights the importance of complementing classes through educational videos, especially in disciplines exclusively with lectures. This proposition is exemplified through basic concepts in alternating current for both single-phase and three-phase circuits, which are critical in the formation of electrical engineers, mechanics, chemists, etc. The main objective of conducting educational videos is to make learning more attractive and stimulate interest in acquiring the knowledge of certain topics, given their importance in professional life in different engineering areas. The videos, filmed in laboratory and of short duration, aim to complement and consolidate the content taught in the classroom lectures.