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Auswahl der wissenschaftlichen Literatur zum Thema „Live Video Shopping“
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Zeitschriftenartikel zum Thema "Live Video Shopping"
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Hofmann, Janine. „Live im Lockdown“. Lebensmittel Zeitung 73, Nr. 15 (2021): 32–33. http://dx.doi.org/10.51202/0947-7527-2021-15-032.
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Gebeutelt durch Lockdown mit wenig Kundenkontakt versuchen immer mehr Händler, Kunden per Video-Shopping und Live-Events zum Kauf zu locken und Stammkunden bei der Stange zu halten. In China ist Live-Shopping bereits etabliert. Hierzulande steckt es noch in den Kinderschuhen. Janine Hofmann
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Yüksel, Hale Fulya, und Ekran Akar. „Tactics for Influencing the Consumer Purchase Decision Process Using Instagram Stories“. International Journal of Customer Relationship Marketing and Management 12, Nr. 1 (Januar 2021): 84–101. http://dx.doi.org/10.4018/ijcrmm.2021010105.
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The purpose of this study is to put forth tactics to influence the consumer purchase decision process by using Instagram Stories tools. The tactics are handled with successful examples from around the world. Analysis of the examples reveal that many powerful tools of Instagram Stories such as different camera modes, face filters, stickers, live video, “see more” links, shopping stickers, hashtags, etc. can be used to accomplish business goals like driving online and in-store sales, promoting apps, raising brand awareness, generating leads, gathering follower feedback, and retaining customers by influencing consumers at every stage of the purchase decision process.
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Alhat, Swapnil. „Virtual Classroom: A Future of Education Post-COVID-19“. Shanlax International Journal of Education 8, Nr. 4 (01.09.2020): 101–4. http://dx.doi.org/10.34293/education.v8i4.3238.
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Unexpectedly, COVID-19 has impacted and affected our world, and our world surely be the changing world when the dust of corona settles down. As we have learned to live within four walls without a cringe moreover online business would be a preferred way of shopping for a large section of the population to avoid human contact and stay protected from the lethal virus. The like virtual classrooms would be a new normal for our educational institutes. Some of the foreign universities like St. Andrews recently awarded a Ph.D. degree to the research scholar who defended his dissertation through video conferencing. Therefore that day is not far away from where classes would be run at the convenience of the students. Online courses are gradually catching the speed; there would come a time when the whole degree would be awarded to students without attending the university or college. Like this, in this paper, the researcher has endeavored the possibility of Virtual Classroompost-COVID-19 world.
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Almghraby, Mohamed, und Abdelrady Okasha Elnady*. „Face Mask Detection in Real-Time using MobileNetv2“. International Journal of Engineering and Advanced Technology 10, Nr. 6 (30.08.2021): 104–8. http://dx.doi.org/10.35940/ijeat.f3050.0810621.
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Face mask detection has made considerable progress in the field of computer vision since the start of the Covid-19 epidemic. Many efforts are being made to develop software that can detect whether or not someone is wearing a mask. Many methods and strategies have been used to construct face detection models. A created model for detecting face masks is described in this paper, which uses “deep learning”, “TensorFlow”, “Keras”, and “OpenCV”. The MobilenetV2 architecture is used as a foundation for the classifier to perform real-time mask identification. The present model dedicates 80 percent of the training dataset to training and 20% to testing, and splits the training dataset into 80% training and 20% validation, resulting in a final model with 65 percent of the dataset for training, 15 percent for validation, and 20% for testing. The optimization approach used in this experiment is “stochastic gradient descent” with momentum (“SGD”), with a learning rate of 0.001 and momentum of 0.85. The training and validation accuracy rose until they reached their maximal peak at epoch 12, with 99% training accuracy and 98% validation accuracy. The model's training and validation losses both reduced until they reached their lowest at epoch 12, with a validation loss of 0.050% and a training loss of less than 0.025%. This system allows for real-time detection of someone is missing the appropriate face mask. This model is particularly resource-efficient when it comes to deployment, thus it can be employed for safety. So, this technique can be merged with embedded application systems at public places and public services places as airports, trains stations, workplaces, and schools to ensure subordination to the guidelines for public safety. The current version is compatible with both IP and non-IP cameras. Web and desktop apps can use the live video feed for detection. The program can also be linked to the entrance gates, allowing only those who are wearing masks to enter. It can also be used in shopping malls and universities.
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Li, Hao, Tianhao Xiezhang, Cheng Yang, Lianbing Deng und Peng Yi. „Secure Video Surveillance Framework in Smart City“. Sensors 21, Nr. 13 (28.06.2021): 4419. http://dx.doi.org/10.3390/s21134419.
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In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications.
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Et.al, Preetha K. G. „A Fuzzy rule- based Abandoned Object Detection using Image Fusion for Intelligent Video Surveillance Systems“. Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, Nr. 3 (10.04.2021): 3694–702. http://dx.doi.org/10.17762/turcomat.v12i3.1652.
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Abandoned object/luggage is a major threat in all public scenes like hospitals, railway stations, airports and shopping malls. Abandoned luggage may contain explosive, biological warfare or smuggled goods. Abandoned object detection is the process to identify the unattended strange object within a specific time. It is also crucial to identify the person who has abandoned the luggage in the scene. Video surveillance is one of the essential techniques for automatic video analysis to extract crucial information or relevant scenes. The main objectives of this work is the automatic detection of abandoned objects and related persons in public areas like airports, railway stations, shopping malls etc. Video enhancement techniques like residual dense networks are adopted to improve the quality of the image before applying it to detect the abandoned objects and related humans. The scenario of abandoned objects and related humans are identified through distance differencing methods. Once the scene is identified, the method is capable of producing alert messages or alarms in real-time through automated means. A fuzzy rule based threat assessment module is also incorporated in this work which reduces the false alarm rate. The related person is identified through reconstruction of the face through super-resolution techniques. Experiments are found to be appreciable in terms of the metrics in video enhancement, detection, fuzzification and face super-resolution.
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Agrawal, Priyanka. „Smart Surveillance System using Face Tracking“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VI (25.06.2021): 2613–17. http://dx.doi.org/10.22214/ijraset.2021.35567.
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The face is seen as a key component of the human body, and humans utilise it to identify one another. Face detection in video refers to the process of detecting a person's face from a video sequence, while face tracking refers to the process of tracking the person's face throughout the video. Face detection and tracking has become a widely researched issue due to applications such as video surveillance systems and identifying criminal activity. However, working with videos is tough due to problems such as bad illumination, low resolution, and atypical posture, among others. It is critical to produce a fair analysis of various tracking and detection strategies in order to fulfil the goal of video tracking and detection. Closed-circuit television (CCTV) technology had a significant impact on how crimes were investigated and solved. The material used to review crime scenes was CCTV footage. CCTV systems, on the other hand, just offer footage and do not have the ability to analyse it. In this research, we propose a system that can be integrated with the CCTV footage or any other video input like webcam to detect, recognise, and track a person of interest. Our system will follow people as they move through a space and will be able to detect and recognise human faces. It enables video analytics, allowing existing cameras to be combined with a system that will recognise individuals and track their activities over time. It may be used for remote surveillance and can be integrated into video analytics software and CCTV security solutions as a component. It may be used on college campuses, in offices, and in shopping malls, among other places.
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Ahmed, Waqas, Muhammad Haroon Yousaf und Amanullah Yasin. „Robust Suspicious Action Recognition Approach Using Pose Descriptor“. Mathematical Problems in Engineering 2021 (12.08.2021): 1–12. http://dx.doi.org/10.1155/2021/2449603.
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In the current era of technological development, human actions can be recorded in public places like airports, shopping malls, and educational institutes, etc., to monitor suspicious activities like terrorism, fighting, theft, and vandalism. Surveillance videos contain adequate visual and motion information for events that occur within a camera’s view. Our study focuses on the concept that actions are a sequence of moving body parts. In this paper, a new descriptor is proposed that formulates human poses and tracks the relative motion of human body parts along with the video frames, and extracts the position and orientation of body parts. We used Part Affinity Fields (PAFs) to acquire the associated body parts of the people present in the frame. The architecture jointly learns the body parts and their associations with other body parts in a sequential process, such that a pose can be formulated step by step. We can obtain the complete pose with a limited number of points as it moves along the video and we can conclude with a defined action. Later, these feature points are classified with a Support Vector Machine (SVM). The proposed work was evaluated on the benchmark datasets, namely, UT-interaction, UCF11, CASIA, and HCA datasets. Our proposed scheme was evaluated on the aforementioned datasets, which contained criminal/suspicious actions, such as kick, punch, push, gun shooting, and sword-fighting, and achieved an accuracy of 96.4% on UT-interaction, 99% on UCF11, 98% on CASIA and 88.72% on HCA.
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Shukla, Utkarsh, Srishti Verma und Atul Kumar Verma. „An Algorithmic Approach for Real Time People Counting with Moving Background“. Journal of Computational and Theoretical Nanoscience 17, Nr. 1 (01.01.2020): 499–504. http://dx.doi.org/10.1166/jctn.2020.8697.
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The research paper implements the concept of real-time people counting. Real time people counting is a relevant source of information in various applications like security or people management, such as in shopping malls, footfall or fleet management in public transport, congestion management and tourist flow estimation. Today, a major use of people counting is done there where we have a cluttered audience and hence we have to make the management of any kind. The proposed algorithm does real time people counting using mean shift with deep learning data sets. The camera used in the system takes the video sequence as an input to the algorithm. The various steps of the algorithm then detect whether the object present in the video is a human or not. After the object is identified as a human, the counting algorithm is then applied to find the number of people in the video and display the counted result.
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Rodan, Debbie, und Jane Mummery. „The ‘Make it Possible’ Multimedia Campaign: Generating a New ‘Everyday’ in Animal Welfare“. Media International Australia 153, Nr. 1 (November 2014): 78–87. http://dx.doi.org/10.1177/1329878x1415300110.
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Although livestock welfare issues were once barely visible to mainstream consumers, animal welfare activists now combine traditional public media advocacy with digital media advocacy to spread their campaign message and mobilise consumers. This article examines one attempt to mainstream animal welfare issues: Animals Australia's ‘Make It Possible’ multimedia campaign. Specifically, we contend that the campaign puts into circulation an ‘affective economy’ (Ahmed, 2004a, 2004b) aimed at proposing and entrenching new modes of everyday behaviour. Core affective positions and their circulation in this economy are considered from three interrelated articulations of this campaign: the release of and public response to the YouTube campaign video; Coles' short-lived offering of campaign shopping bags; and public engagement in the ‘My Make It Possible Story’ website. Analysis also opens up broader questions concerning the relationship between online activism and everyday life, asking how articulations in one domain translate to everyday practices.
Dissertationen zum Thema "Live Video Shopping"
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Andersson, Elina, und Nicolai Pitz. „Ready, set, live! How Do European Consumers Perceive the Value of Live Video Shopping and What are Their Motivations to Engage in It? A Qualitative Study“. Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185201.
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The phenomenon of Live Video Shopping (LVS) has gained increased attention in recent years. Sinceapproximately 2017, the Chinese market has brought LVSto the attention of the public. In terms of overall market share, LVS was projected to account for roughly 20% of the overalle-commerce volume in Chinauntil 2021. Despite that, within Europe LVS has not seen such rapid growth and seems to be still a neglected domain,both in practice and in academia.Most academic research on LVS has originated in China and took place in an Asian setting. From a European standpoint, these findings can onlyserve as a starting point for further researchdue to cultural differences. Sincemost extant research on the topic of LVS adopted a quantitative research design, we could clearly identify a lack of qualitative studies in a European context. Therefore, our study aims to fill this research gap by investigating European consumersperceived value of LVS and their motivations to engage in it. A qualitative research design is particularly suitable for the exploratory nature of ourresearch. For the collection of data, we conducted three synchronous online focus groups through purposive sampling of European participants. In addition to that, and as a triangulation for our data sources, Pål Burman, the CEO of the LVS provider Zellma, was interviewed. With this we were able to includedifferent perspectives on the topic. It also helped us to increase thevalidityofthemanagerial implications.Usingthematic analysis, we could identify themes that theparticipants associated with the concept of LVS. The findings suggest that the perceived value of LVS for European consumers is not indisputable. Based on the theoretical concept of perceived value,LVS has to solve the trade-off between give and get components. This means that the committed time for attending an LVS stream has to be compensated by certainbenefits, such asdiscounts, enhanced product information, exclusivity of content,or inspiration. By using the theoretical framework of Uses and Gratifications Theory (UGT), we were able to divide the motivations of European consumers to engage in LVS in three types of gratifications: hedonic, utilitarian, and social. As opposed to prior Asian research on the topic, social gratifications only played a minor role forEuropean consumers. Reasons for an interaction between the viewer and the broadcaster were primarily product-related and utilitarian by nature. Engagement for the sake of social motives could not be confirmed. Utilitarian gratifications desired byEuropean consumers were mainly connected to theobtainment of enhanced production information, leading to more informed purchase decisions. Hedonic motivations were for exampleentertainmentand inspiration. When connecting UGT to the TechnologyAcceptance Model (TAM), we have also been able to identify consumers' approachesto LVS as a new technology.Crucial here weretheperceived ease of use and perceived usefulnessof LVS.It was shown that consumers require LVS to be as easy or easier than normal e-commerce shopping is already.LVS would further be perceived as useful if it could provide the viewers with something uniquethat old technologies are not able to provide.Asa new digital phenomenon, itis expected to serve as a complement to physical and online stores. In fact, LVS might not only serve as a platform of sales, but also tocreate long-lasting relationships between a brand and its consumers with consumer engagementas a main desired outcome.
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Berkowicz, David, und Filip Lindgren. „Covid-19 pandemins påverkan på kundupplevelsehantering : En studie inom svensk hemelektronik“. Thesis, Södertörns högskola, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-45885.
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Denna studie är en undersökning om hur Covid-19 pandemin har förändrat kundupplevelsehantering för svensk hemelektronikhandel. Vidare undersöks hur svenska hemelektronikföretag och konsumenter svarat och agerat på dessa förändringar. Forskningen har använt triangulerande datainsamlingsmetoder. Kvantitativ data har samlats in genom enkätundersökningar med konsumenter. Kvalitativ data har samlats in från intervjuer med representanter på svenska hemelektronikföretag. Studien ägde rum under Covid-19 pandemin och utfördes därmed på distans med hjälp av digitala verktyg. Studiens resultat tyder på att Covid-19 pandemin lett till ett hopp på tre år i utvecklingen av handeln inom hemelektronik och därmed bidragit med en övergång från interaktion via fysiska butiker till digitala kanaler. Företag inom hemelektronik har även fokuserat mindre på hur konkurrenter agerat och mer på vad konsumenter efterfrågar. Detta har lett till utveckling av nya kanaler och helt nya sätt att interagera med kunder. De nya kanalerna integrerar mänsklig natur i dess interaktion genom video samt direkt kommunikation mellan kund och anställd. Kunder är mer nöjda med deras upplevelser hos företagen under pandemin än innan pandemin och företagen förutspås fortsätta i den utveckling pandemin bidragit till.This study investigates how the Covid-19 pandemic has changed customer experience management for the Swedish consumer electronics trade. It also examines how Swedish consumer electronics companies and consumers have responded and acted on these changes. The research has used triangulating data collection methods. Quantitative data have been collected through surveys with consumers. Qualitative data have been collected from interviews with representatives of Swedish consumer electronics companies. The study took place during the COVID-19 pandemic and was thus carried out remotely using digital tools. The results of the study indicate that the Covid-19 pandemic has led to a three-year jump in the development of trade in consumer electronics and thus contributed to a transition from interaction via physical stores to digital touchpoints. Home electronics companies have also focused less on how competitors have acted and more on what consumers demand. This has led to the development of new touchpoints and completely new ways of interacting with customers. The new touchpoints integrate human nature in its interaction through video and direct communication between customer and employee. Customers are more satisfied with their experiences with companies during the pandemic than before the pandemic and the companies are predicted to continue in the development the pandemic has contributed to.
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Chang, Tzu-Wei, und 張滋煒. „A study on the Relationship Between on-line video-watching and on-line shopping Behaviors“. Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5a45hf.
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碩士國立交通大學
管理學院高階主管管理碩士學程
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Watching video programs through internet (on-line video viewing) has become increas-ingly popular. According to Google (2017), the daily hours of on-line viewing on YouTube are quite close to that of watching television. In addition, on-line shopping has been substantially increasing. This research has three objectives: (1) examining the behavior of on-line video viewers, (2) examining the behavior of on-line shop-ping consumers, and (3) investigating if on-line video viewing preference has an ef-fect on the intention of on-line shopping. We carry out a two-stage survey. The first stage survey is intended to identify users of on-line video and on-line shopping. Tak-ing significant users screened from the first stage survey as subjects, the second stage survey is designed to achieve the three research objectives.
Bücher zum Thema "Live Video Shopping"
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Holmes, Dawn E. Big Data: A Very Short Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198779575.001.0001.
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Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world’s population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, videos, and photos; all our social media traffic; our online shopping; even the GPS data from our cars. Big Data: A Very Short Introduction explains how big data works and is changing the world around us, the effect it has on our everyday lives and in the business world, and it considers the attendant security risks.
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Sagan, Meredith, und Timothy Fong. Integrative Approach to Behavioral Addictions: Internet Gaming Disorder (IGD) and Compulsive Buying Disorder (CBD). Herausgegeben von Shahla J. Modir und George E. Muñoz. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190275334.003.0010.
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In recent years, awareness and concern has grown within the psychological and medical communities regarding “behavioral addictions”: these are defined as the compulsive performance of otherwise normal everyday activities such as sex, gambling, use of the Internet and online video games, and shopping. This chapter examines 3 such addictive disorders: gambling disorder, compulsive buying disorder (CBD), and Internet gaming disorder (IGD), exploring their definitions, prevalence, diagnoses, consequences, and treatment. All 3 disorders share similar neurobiological mechanisms, acting on the pleasure centers of the brain and having potentially severe social, mental, and psychological repercussions, including loss of interest in life and withdrawal symptoms as intense as those felt by substance abusers when quitting drugs. Certain pharmaceuticals, CBT, and treatment principles similar to those followed by substance abusers, as well as various non-traditional modalities such as acupuncture and yoga, all have shown promise in treating these disorders.
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Attrill-Smith, Alison, Chris Fullwood, Melanie Keep und Daria J. Kuss, Hrsg. The Oxford Handbook of Cyberpsychology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198812746.001.0001.
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Humans are becoming increasingly reliant on interconnected technologies to go about their daily lives in the personal and professional spheres. From finding romance, to conducting businesses entirely online, receiving health services, shopping, banking, and gaming, the Internet and World Wide Web open up a world of possibilities to people across the globe. Understanding the psychological processes underlying and influencing the thinking, interpretation, and behavior associated with this online interconnectivity is the core premise of Cyberpsychology. This book explores a wide range of cyberpsychological processes and activities through the research and writings of some of the world’s leading cyberpsychology experts. The book covers a broad range of topics spanning the key areas of research interest in this emerging field of enquiry and will be of interest to those who have only recently discovered the discipline as well as more seasoned cyberpsychology researchers and teachers. The book contains eight sections, and includes contributions spanning the breadth of current academic and public interest. Topics include: online research methods, self-presentation and impression management, technology across the lifespan, interaction and interactivity, online groups and communities, social media, health and technology, video gaming, and cybercrime and cybersecurity.
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Einstein, Mara. Advertising. Oxford University Press, 2017. http://dx.doi.org/10.1093/wentk/9780190625887.001.0001.
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3000. That's the number of marketing messages the average American confronts on a daily basis from TV commercials, magazine and newspaper print ads, radio commercials, pop-up ads on gaming apps, to pre-roll on YouTube videos and native advertising on mobile news apps. These commercial messages are so pervasive that we cannot help but be affected by perpetual come-ons to keeping buying. Over the last decade, advertising has become more devious, more digital, and more deceptive, with an increasing number of ads designed to appear to the untrained eye to be editorial content. It's easy to see why. As we have become smarter at avoiding ads, advertisers have become smarter about disguising them. Mara Einstein exposes how our shopping, political and even dating preferences are unwittingly formed by brand images and the mythologies embedded in them. Advertising: What Everyone Needs to Know® helps us combat the effects of manipulative advertising, and enables the reader to understand how marketing industries work in the digital age, particularly in their uses and abuses of Big Data. Most importantly, it awakens us to advertising's subtle and not so subtle impact on our lives-both as individuals and as a global society. What ideas and information are being communicated to us-and to what end?
Buchteile zum Thema "Live Video Shopping"
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Ho, Ree C., und Kanesh Gopal Rajadurai. „Live Streaming Meets Online Shopping in the Connected World“. In Strategies and Tools for Managing Connected Consumers, 130–42. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9697-4.ch008.
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With the increased usage of live stream video, this chapter examined consumer product learning process in using it as a platform to shop online. Live stream video has been utilized to show and demonstrate product specifications and information. By depending on it, the prospective consumer uses the interactive videos to help them make purchase decision. However, the extent of the social live video in promoting the product knowledge is not examined yet. Hence, there is a need to examine the power of social live video in enhancing customer learning during the shopping. The main objective is to understand how the act of live streaming may change the viewer impression towards a brand or product. Secondly, the authors also investigate the subsequent knowledge gained by watching the live stream footage and how could it exert influence on product purchase. This study developed an integrative framework by combining the theories of relative advantage and absorptive capacity to examine the underlying factors in the use of social live stream video.
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B., Rajitha. „Intelligent Vision-Based Systems for Public Safety and Protection via Machine Learning Techniques“. In Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security, 1–17. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3299-7.ch001.
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Abnormal behavior detection from on-line/off-line videos is an emerging field in the area of computer vision. This plays a vital role in video surveillance-based applications to provide safety for humans at public places such as traffic signals, shopping malls, railway stations, etc. Surveillance cameras are meant to act as digital eyes (i.e., watching over activities at public places) and provide security. There are a number of cameras deployed at various public places to provide video surveillance, but in reality, they are used only after some incident has happened. Moreover, a human watch is needed in order to detect the person/cause of the incident. This makes surveillance cameras passive. Thus, there is a huge demand to develop an intelligent video surveillance system that can detect the abnormality/incident dynamically and accordingly raise an alarm to the nearest police stations or hospitals as per requirement. If AI-supported CCTV systems are deployed at commercial and traffic areas, then we can easily detect the incidents/crimes, and they can be traced in minimal time.
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Mishra, Brojo Kishore, und Rekhanjali Sahoo. „Application of Opinion Mining in E-Commerce“. In Improving E-Commerce Web Applications Through Business Intelligence Techniques, 271–96. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3646-8.ch012.
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Social media has become an increasingly important part of our daily lives in the last few years. An area of substantial research is that of predicting product sales, such as books, video games, and movie tickets. Customer opinions play a very crucial role in daily life. When we have to make decisions, opinions of other individuals are also considered. Business organizations and corporate organizations are always eager to find consumer or individual views regarding their products, support, and service. In e-commerce, online shopping, and online tourism, it is very crucial to analyze the social data present on the web automatically; therefore, it is very important to create methods that automatically classify them. In this chapter, the authors do future prediction of financial market by taking past observations so that they can maximize their profit and orders can be placed on time.
Konferenzberichte zum Thema "Live Video Shopping"
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Cai, Jie, Donghee Yvette Wohn, Ankit Mittal und Dhanush Sureshbabu. „Utilitarian and Hedonic Motivations for Live Streaming Shopping“. In TVX '18: ACM International Conference on Interactive Experiences for TV and Online Video. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3210825.3210837.
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Zhao, Hongrui, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang und Fei Wu. „Dress like an Internet Celebrity: Fashion Retrieval in Videos“. In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/147.
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Nowadays, both online shopping and video sharing have grown exponentially. Although internet celebrities in videos are ideal exhibition for fashion corporations to sell their products, audiences do not always know where to buy fashion products in videos, which is a cross-domain problem called video-to-shop. In this paper, we propose a novel deep neural network, called Detect, Pick, and Retrieval Network (DPRNet), to break the gap between fashion products from videos and audiences. For the video side, we have modified the traditional object detector, which automatically picks out the best object proposals for every commodity in videos without duplication, to promote the performance of the video-to-shop task. For the fashion retrieval side, a simple but effective multi-task loss network obtains new state-of-the-art results on DeepFashion. Extensive experiments conducted on a new large-scale cross-domain video-to-shop dataset shows that DPRNet is efficient and outperforms the state-of-the-art methods on video-to-shop task.