Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00018
Yaxi Wang, Yuyang Wang, Zhen Fan
Objective Investigating the popularity of mobile AR applications has laid the foundation for the exploration of mobile AR applications. Methods The questionnaire survey selected AR experimental samples and divided the samples into 4 categories: mobile AR games, mobile AR advertisements, mobile AR videos, and mobile AR shopping. Establish the evaluation team to analyze the user experience data feedback results of the four types of AR applications. Conclusion Users have the most experience with mobile AR games, and users have a higher degree of experience with AR games than other categories.
{"title":"Current Status and Prospects of Mobile AR Applications","authors":"Yaxi Wang, Yuyang Wang, Zhen Fan","doi":"10.1109/ICCST53801.2021.00018","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00018","url":null,"abstract":"Objective Investigating the popularity of mobile AR applications has laid the foundation for the exploration of mobile AR applications. Methods The questionnaire survey selected AR experimental samples and divided the samples into 4 categories: mobile AR games, mobile AR advertisements, mobile AR videos, and mobile AR shopping. Establish the evaluation team to analyze the user experience data feedback results of the four types of AR applications. Conclusion Users have the most experience with mobile AR games, and users have a higher degree of experience with AR games than other categories.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124004747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00073
Cheng Zhang, Chen Li
In the recommendation system, compared with the explicit feedback, implicit feedback has the characteristics of large quantity, easier tracking and easier access. Even in many practical application scenarios of the recommendation system, there is only implicit feedback without explicit feedback Based on implicit feedback to recommend there has been a problem, that is usually implicit feedback provides only reflect the noise signal of user preferences, because although the observed interactions at least reflect the user’s interest in the item, but not observed the interaction may be missing data, and is not necessarily negative samples, so it’s natural lack of negative feedback In this work, this paper improves the neural colla-borative filtering algorithm (NCF) by extracting the popularity characteristics as the basis for extracting negative samples from implicit feedback data. To a certain extent, it solves the problem that negative sampling introduces a lot of noise in previous work. At the same time, we found that the gradient vanishing in the training process when using the traditional loss function Binary Cross Entropy (BCE). In order to solve this problem, a new loss function, BCE-Max, was proposed in this paper. Based on the above improvements, we proposed a neural collaborative filtering recommendation algorithm (PNCF) based on popularity characteristics. By comparing the performance of PNCF, NCF, traditional collaborative filtering and some matrix factorization recommendation algorithms in the evaluation indexes such as HR@10, NDCG@10 and avg_popularity@10, we find that PNCF has certain advantages over these recommendation algorithms. Meanwhile, We found that compared with NCF, the experimental results of PNCF improved by about 1.2% and 2% onHR@10 and NDCG@10 respectively, and even improved by about 2% on HR@1 and NDCG@I.
{"title":"Neural Collaborative Filtering Recommendation Algorithm Based on Popularity Feature","authors":"Cheng Zhang, Chen Li","doi":"10.1109/ICCST53801.2021.00073","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00073","url":null,"abstract":"In the recommendation system, compared with the explicit feedback, implicit feedback has the characteristics of large quantity, easier tracking and easier access. Even in many practical application scenarios of the recommendation system, there is only implicit feedback without explicit feedback Based on implicit feedback to recommend there has been a problem, that is usually implicit feedback provides only reflect the noise signal of user preferences, because although the observed interactions at least reflect the user’s interest in the item, but not observed the interaction may be missing data, and is not necessarily negative samples, so it’s natural lack of negative feedback In this work, this paper improves the neural colla-borative filtering algorithm (NCF) by extracting the popularity characteristics as the basis for extracting negative samples from implicit feedback data. To a certain extent, it solves the problem that negative sampling introduces a lot of noise in previous work. At the same time, we found that the gradient vanishing in the training process when using the traditional loss function Binary Cross Entropy (BCE). In order to solve this problem, a new loss function, BCE-Max, was proposed in this paper. Based on the above improvements, we proposed a neural collaborative filtering recommendation algorithm (PNCF) based on popularity characteristics. By comparing the performance of PNCF, NCF, traditional collaborative filtering and some matrix factorization recommendation algorithms in the evaluation indexes such as HR@10, NDCG@10 and avg_popularity@10, we find that PNCF has certain advantages over these recommendation algorithms. Meanwhile, We found that compared with NCF, the experimental results of PNCF improved by about 1.2% and 2% onHR@10 and NDCG@10 respectively, and even improved by about 2% on HR@1 and NDCG@I.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124259166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Knowledge service is the key link to promote the upgrading of science and technology innovation, professional education and publishing industry. This paper mainly expounds the access mode of knowledge resources on knowledge aggregation and service platform. The classification and investigation of the massive knowledge resources are carried out. This paper proposes an “embedded” resource access mode of knowledge service platform, which solves the common problem of copyright authorization in the process of resource access for building knowledge aggregation and service platform, and provides a solution for copyright organizations to realize self-supporting without handing over copyright. Based on the “embedded” access mode, Wanfang Data has been implemented on its knowledge service platform, and has been launched the resource system aggregation service called “Station’s Application”.
{"title":"An “embedded” access mode of copyright resources in knowledge aggregation service portal","authors":"Li-juan Zhou, Xinran Zhao, Xiaoyan Fu, Zhao Wu, Baorui Mei, Gaoqing Nie","doi":"10.1109/ICCST53801.2021.00042","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00042","url":null,"abstract":"Knowledge service is the key link to promote the upgrading of science and technology innovation, professional education and publishing industry. This paper mainly expounds the access mode of knowledge resources on knowledge aggregation and service platform. The classification and investigation of the massive knowledge resources are carried out. This paper proposes an “embedded” resource access mode of knowledge service platform, which solves the common problem of copyright authorization in the process of resource access for building knowledge aggregation and service platform, and provides a solution for copyright organizations to realize self-supporting without handing over copyright. Based on the “embedded” access mode, Wanfang Data has been implemented on its knowledge service platform, and has been launched the resource system aggregation service called “Station’s Application”.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00030
Kaidi Xiang, Hongjie Ni, Zhenye Liu, Dan Zhang
The variety of cultural activity spatial transformation methods based on finite state machines (FSM) are proposed to solve the problem of activity spatial transformations within a limited time. In this paper, we first investigate and extract the spatial characteristics of each activity in the SCSC, and establish a mathematical model. Then, we use the decision tree (DT) method to classify the various activity spaces and build a hierarchical FSM model based on the classification results. Finally, we conduct simulation experiments to verify the feasibility of the FSM model of the active spaces.
{"title":"Space Transformation of Small-Cultural Service Complex Based on Finite State Machine","authors":"Kaidi Xiang, Hongjie Ni, Zhenye Liu, Dan Zhang","doi":"10.1109/ICCST53801.2021.00030","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00030","url":null,"abstract":"The variety of cultural activity spatial transformation methods based on finite state machines (FSM) are proposed to solve the problem of activity spatial transformations within a limited time. In this paper, we first investigate and extract the spatial characteristics of each activity in the SCSC, and establish a mathematical model. Then, we use the decision tree (DT) method to classify the various activity spaces and build a hierarchical FSM model based on the classification results. Finally, we conduct simulation experiments to verify the feasibility of the FSM model of the active spaces.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00048
Tianyu Chen, Ping Shi
Inverse tone mapping has drawn more attention recently because it can convert a large number of existing standard dynamic range (SDR) images into high dynamic range (HDR) images. In this paper, we proposed an inverse tone mapping algorithm based on a multi-scale dual-branch network which can restore the original information lost in under-/over-exposed areas. A multi-scale structure and masking mechanism are used to guide the reconstruction of image texture and structure. In order to enhance the robustness of the model for dealing with extremely exposed images, we apply a preprocessing method of exposure adjustment which improves the quality of the generated images. With quantitative and visual inspection experiments, we prove that the proposed algorithm has better performance than most state-of-the-art algorithms.
{"title":"An Inverse Tone Mapping Algorithm Based on Multi-scale Dual-branch Network","authors":"Tianyu Chen, Ping Shi","doi":"10.1109/ICCST53801.2021.00048","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00048","url":null,"abstract":"Inverse tone mapping has drawn more attention recently because it can convert a large number of existing standard dynamic range (SDR) images into high dynamic range (HDR) images. In this paper, we proposed an inverse tone mapping algorithm based on a multi-scale dual-branch network which can restore the original information lost in under-/over-exposed areas. A multi-scale structure and masking mechanism are used to guide the reconstruction of image texture and structure. In order to enhance the robustness of the model for dealing with extremely exposed images, we apply a preprocessing method of exposure adjustment which improves the quality of the generated images. With quantitative and visual inspection experiments, we prove that the proposed algorithm has better performance than most state-of-the-art algorithms.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128042141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00095
Tianyi Cui, Yu Yang, Yunhai Guo
Virtual Reality (VR) technology has become ever more popular with consumers in recent years. However, dizziness brought by VR greatly affects its experience, especially VR motion sickness. Therefore, the industry needs in order to study how to improve the comfort of VR motion pictures. The subject conducts subjective evaluation experiments through the constructed virtual 3D scene. The relationship between the height and speed of the VR camera, as well as the gender of the audience and VR motion sickness, is considered by subjective evaluation experiments. Viewer’s VR motion sickness is the least obvious when the viewer is close to the height and average pace, and women are more likely to be dizzy to VR than men, which are proved by experimental results.
{"title":"Evaluation of Height and Speed Effects on the Comfort of VR Motion Picture Display","authors":"Tianyi Cui, Yu Yang, Yunhai Guo","doi":"10.1109/ICCST53801.2021.00095","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00095","url":null,"abstract":"Virtual Reality (VR) technology has become ever more popular with consumers in recent years. However, dizziness brought by VR greatly affects its experience, especially VR motion sickness. Therefore, the industry needs in order to study how to improve the comfort of VR motion pictures. The subject conducts subjective evaluation experiments through the constructed virtual 3D scene. The relationship between the height and speed of the VR camera, as well as the gender of the audience and VR motion sickness, is considered by subjective evaluation experiments. Viewer’s VR motion sickness is the least obvious when the viewer is close to the height and average pace, and women are more likely to be dizzy to VR than men, which are proved by experimental results.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130952438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00034
Zeyu Li, Tianhe Yu, Hao Shen
Tourism is a form of cultural expression. The key step of fine-grained sentiment analysis of travel review evaluation text is opinion targets extraction. It aims to analyze travel review text and extract the opinion targets contained in it, and targets extraction’s accuracy rate directly affects the accuracy rate of sentiment analysis. Due to the outstanding performance of pre-training language models in the field of natural language processing in recent years, in order to improve the accuracy of opinion targets extraction, we propose a RoBERTa pre-training language model and Chinese pre-training word embedding vector, combined with BiLSTM (bidirectional long short-term memory) and CRF (conditional random field) opinion targets extraction model. The experimental results on the travel review data set of the Mafengwo travel software show that the extraction effect of this model is improved to varying degrees compared with other existing opinion targets extraction models based on deep learning.
{"title":"Research on Opinion Targets Extraction of Travel Reviews Based on RoBERTa Embedded BILSTM-CRF Model","authors":"Zeyu Li, Tianhe Yu, Hao Shen","doi":"10.1109/ICCST53801.2021.00034","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00034","url":null,"abstract":"Tourism is a form of cultural expression. The key step of fine-grained sentiment analysis of travel review evaluation text is opinion targets extraction. It aims to analyze travel review text and extract the opinion targets contained in it, and targets extraction’s accuracy rate directly affects the accuracy rate of sentiment analysis. Due to the outstanding performance of pre-training language models in the field of natural language processing in recent years, in order to improve the accuracy of opinion targets extraction, we propose a RoBERTa pre-training language model and Chinese pre-training word embedding vector, combined with BiLSTM (bidirectional long short-term memory) and CRF (conditional random field) opinion targets extraction model. The experimental results on the travel review data set of the Mafengwo travel software show that the extraction effect of this model is improved to varying degrees compared with other existing opinion targets extraction models based on deep learning.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130185150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00076
Tong-lu Li, Hanxi Wang
The artistic lighting system for high-altitude cold areas is a set of intelligent night-lighting equipment that can be used for night tourism in high-altitude cold areas. In order to ensure the normal and stable delivery of artistic lighting systems to the actual high-altitude icy/snowy areas, methods such as theoretical research, experimental analysis, modeling, algorithm improvement, and case study are adopted to study the delivery of artistic lighting systems in high-altitude cold conditions. Based on the actual demand for the delivery of artistic lighting systems to high-altitude icy/snowy areas, the Fuzzy Time-Windows constraint is formulated; the objective functions for maximizing customer satisfaction with artistic light shows and minimizing the total cost of the delivery of lighting systems are designed; customer satisfaction with light shows is converted into a constraint and thus a single objective function is established. Based on the single objective function, a static initial model with time window constraints is constructed. The Shennongjia International Ski Resort in Hubei Province is selected for empirical analysis. Based on the static initial model and dynamic model constructed by using the genetic algorithms for nonlinear programming, three analyses are completed. According to the analyses, the cost of a single light show using the artistic lighting systems is relatively low, and as the places in need of lighting systems increase, the cost of artistic lighting systems will be increasingly lower than that of fixed light sources.
{"title":"A Study of Delivery Route Optimization for Artistic Lighting Systems for Cultural Tourism in High-altitude Cold Areas at Night","authors":"Tong-lu Li, Hanxi Wang","doi":"10.1109/ICCST53801.2021.00076","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00076","url":null,"abstract":"The artistic lighting system for high-altitude cold areas is a set of intelligent night-lighting equipment that can be used for night tourism in high-altitude cold areas. In order to ensure the normal and stable delivery of artistic lighting systems to the actual high-altitude icy/snowy areas, methods such as theoretical research, experimental analysis, modeling, algorithm improvement, and case study are adopted to study the delivery of artistic lighting systems in high-altitude cold conditions. Based on the actual demand for the delivery of artistic lighting systems to high-altitude icy/snowy areas, the Fuzzy Time-Windows constraint is formulated; the objective functions for maximizing customer satisfaction with artistic light shows and minimizing the total cost of the delivery of lighting systems are designed; customer satisfaction with light shows is converted into a constraint and thus a single objective function is established. Based on the single objective function, a static initial model with time window constraints is constructed. The Shennongjia International Ski Resort in Hubei Province is selected for empirical analysis. Based on the static initial model and dynamic model constructed by using the genetic algorithms for nonlinear programming, three analyses are completed. According to the analyses, the cost of a single light show using the artistic lighting systems is relatively low, and as the places in need of lighting systems increase, the cost of artistic lighting systems will be increasingly lower than that of fixed light sources.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116351470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00093
Huijuan Guo, Baoning Niu, Ying Huang, Hu Guan, Fangpeng Lan, Fei Lin
This paper presents a novel image watermarking algorithm based on Discrete Cosine Transform (DCT). To imbed the watermark, we first divide the image into non-overlapping partition. Then, after applying DCT, named as one-level DCT, to the host images blocks, and DC coefficients of each block are extracted. Next, we perform DCT again, named as two-level DCT, on the matrix comprised of the selected DC coefficients of each image blocks. Finally, the watermark is embedded on the part of the coefficients after the two-level DCT. The host signal interference (HIS) is the persistent concern in the spread spectrum principle. This paper overcomes the drawback by substituting spread spectrum watermark (SSW) for the original values. However, in the traditional way, these original values are modified by adding with SSW. Moreover, fixed-number blocks for image segmentation plays an important role in resisting scaling attacks. Experimental results demonstrate that the proposed method is resilient to many kinds of image processing attacks and geometric distortions, such as filtering, noise adding, JPEG compression, scaling, aspect ratio change and some kinds of combined transforms.
{"title":"An Improved Robust Digital Image Watermarking Algorithm based on two-level DCT","authors":"Huijuan Guo, Baoning Niu, Ying Huang, Hu Guan, Fangpeng Lan, Fei Lin","doi":"10.1109/ICCST53801.2021.00093","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00093","url":null,"abstract":"This paper presents a novel image watermarking algorithm based on Discrete Cosine Transform (DCT). To imbed the watermark, we first divide the image into non-overlapping partition. Then, after applying DCT, named as one-level DCT, to the host images blocks, and DC coefficients of each block are extracted. Next, we perform DCT again, named as two-level DCT, on the matrix comprised of the selected DC coefficients of each image blocks. Finally, the watermark is embedded on the part of the coefficients after the two-level DCT. The host signal interference (HIS) is the persistent concern in the spread spectrum principle. This paper overcomes the drawback by substituting spread spectrum watermark (SSW) for the original values. However, in the traditional way, these original values are modified by adding with SSW. Moreover, fixed-number blocks for image segmentation plays an important role in resisting scaling attacks. Experimental results demonstrate that the proposed method is resilient to many kinds of image processing attacks and geometric distortions, such as filtering, noise adding, JPEG compression, scaling, aspect ratio change and some kinds of combined transforms.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125466071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00074
Wu Shiqiang, Huang Ying, Guan Hu, Zhang Shuwu, Liu Jie
In this paper, a spread spectrum based audio watermarking method with embedding positions adaption is proposed. A method of predominant local pulse (PLP) extraction is introduced to adaptively search for suitable embedded positions. Embedding watermark information at specific positions can reduce the amount of data modifications, thereby suppressing signal distortion caused by embedding. In addition, a embedding procedure based on spread spectrum, which provides robustness, is used in the DCT domain. The method discussed herein can embed watermark not only imperceivable but robust under common signal processing attacks and some of de-synchronization attacks.
{"title":"A Spread Spectrum Based Audio Watermarking Method with Embedding Positions Adaption Using Predominant Local Pulse Extraction","authors":"Wu Shiqiang, Huang Ying, Guan Hu, Zhang Shuwu, Liu Jie","doi":"10.1109/ICCST53801.2021.00074","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00074","url":null,"abstract":"In this paper, a spread spectrum based audio watermarking method with embedding positions adaption is proposed. A method of predominant local pulse (PLP) extraction is introduced to adaptively search for suitable embedded positions. Embedding watermark information at specific positions can reduce the amount of data modifications, thereby suppressing signal distortion caused by embedding. In addition, a embedding procedure based on spread spectrum, which provides robustness, is used in the DCT domain. The method discussed herein can embed watermark not only imperceivable but robust under common signal processing attacks and some of de-synchronization attacks.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133659469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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