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  • Multi-feature-based crowd video modeling for visual event detection
    Multimedia Syst. (IF 1.956) Pub Date : 2020-04-04
    Habib Ullah, Ihtesham Ul Islam, Mohib Ullah, Muhammad Afaq, Sultan Daud Khan, Javed Iqbal

    Abstract We propose a novel method for modeling crowd video dynamics by adopting a two-stream convolutional architecture which incorporates spatial and temporal networks. Our proposed method cope with the key challenge of capturing the complementary information on appearance from still frames and motion between frames. In our proposed method, a motion flow field is obtained from the video through dense

    更新日期:2020-04-06
  • Multimedia content recommendation in social networks using mood tags and synonyms
    Multimedia Syst. (IF 1.956) Pub Date : 2019-08-14
    Chang Bae Moon, Jong Yeol Lee, Dong-Seong Kim, Byeong Man Kim

    Abstract The preferences of Web information purchasers are changing. Cost-effectiveness (i.e., an emphasis on performance with respect to price) is becoming less regarded than cost-satisfaction, which emphasizes the purchaser’s psychological satisfaction. A method to improve a user’s cost-satisfaction in recommending multimedia content is to use the mood-inherent in multimedia items. An example of

    更新日期:2020-03-27
  • On improving the engagement between viewers and TV commercials through gamification
    Multimedia Syst. (IF 1.956) Pub Date : 2019-06-25
    Marco Furini, Roberta De Michele

    Abstract TV advertisements are less and less watched as most viewers turn their attention to the smartphone during commercial breaks. Therefore, broadcasters are facing a novel challenge: how to improve the engagement between viewers and TV commercials. In this paper, we investigate whether gamification can be a winning strategy. Indeed, despite some strategies that have recently been proposed (e.g

    更新日期:2020-03-27
  • RMoCap: an R language package for processing and kinematic analyzing motion capture data
    Multimedia Syst. (IF 1.956) Pub Date : 2019-08-31
    Tomasz Hachaj, Marek R. Ogiela

    Abstract Package RMoCap is an advanced open-source tool for scientists, engineers and computer graphics familiar with R language who work with motion capture (MoCap) technology. Package provides them with MoCap data handling, statistical processing, visualizing and analysis. Package uses well-established MoCap file exchange format and can be easily integrated with most of the motion analysis workflows

    更新日期:2020-03-27
  • A steganographic method based on gain quantization for iLBC speech streams
    Multimedia Syst. (IF 1.956) Pub Date : 2019-06-25
    Zhaopin Su, Wangwang Li, Guofu Zhang, Donghui Hu, Xianxian Zhou

    Abstract Under the premise of ensuring good speech quality and resistance to steganalysis, how to embed as much information as possible into low-bit-rate speech is a challenge. The existing research mainly focuses on least significant bits in the compressed speech streams or line spectral frequencies in the encoding processes of the G.723.1 and G.729a codecs. In this paper, we are concentrating on

    更新日期:2020-03-27
  • A real-time 3D video analyzer for enhanced 3D audio–visual systems
    Multimedia Syst. (IF 1.956) Pub Date : 2019-08-07
    Sangoh Jeong, Hyun-Soo Kim, KyuWoon Kim, Byeong-Moon Jeon, Joong-Ho Won

    Abstract With the recent advent of three-dimensional (3D) sound home theater systems (HTS), more and more TV viewers are experiencing rich, immersive auditory presence at home. In this paper, visual processing approaches are provided to make 3D audio–visual (AV) systems more realistic to the viewers. In the proposed system, a visual engine processes stereo video streams to extract a disparity map for

    更新日期:2020-03-27
  • Review on image-stitching techniques
    Multimedia Syst. (IF 1.956) Pub Date : 2020-03-20
    Zhaobin Wang, Zekun Yang

    Abstract Image stitching, or known as image mosaic, is the process that combines images with overlapped areas to form an image with wide view and high resolution. Image stitching technique has been quickly developed these years. It has become an important branch in digital image processing and has wide applications. Many image stitching methods have been proposed. This article takes investigation on

    更新日期:2020-03-21
  • Saliency threshold: a novel saliency detection model using Ising’s theory on Ferromagnetism (STIF)
    Multimedia Syst. (IF 1.956) Pub Date : 2020-03-04
    Navjot Singh

    Abstract With the advancement of time, the computer vision systeams are focusing on mimicking the human visual system. In this manuscript, we tried to develop a model which works at improving both the detection accuracy and computation time. First, two double opponent color based features and twelve directional edge features using Gabor filter are computed. Then the most dominant feature pertaining

    更新日期:2020-03-06
  • Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia
    Multimedia Syst. (IF 1.956) Pub Date : 2020-02-13
    Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar

    Abstract Schizophrenia, a serious psychological disorder, causes auditory and visual hallucinations, and delusions in a person. Several studies have shown that schizophrenia imposes structural changes in human brain. Relative changes in the grey matter volume of the schizophrenia patients in comparison to healthy controls have been well explored. However, identification of relevant brain regions that

    更新日期:2020-02-13
  • Robust video encryption for H.264 compressed bitstream based on cross-coupled chaotic cipher
    Multimedia Syst. (IF 1.956) Pub Date : 2020-02-07
    Hui Xu, Xiaojun Tong, Zhu Wang, Miao Zhang, Yang Liu, Jing Ma

    Abstract In order to realize the secure transmission of the H.264 compressed video bitstream, a detailed analysis of the structure for video bitstream is performed. The parameter set and frame header data related to video decoding are retained, and the slice data payload in the network abstraction layer unit is selected as the encryption object. The video format is compliant under the premise of real

    更新日期:2020-02-07
  • A novel automatic image segmentation method for Chinese literati paintings using multi-view fuzzy clustering technology
    Multimedia Syst. (IF 1.956) Pub Date : 2019-07-09
    Jie Zhang, Yintao Zhou, Kaijian Xia, Yizhang Jiang, Yuan Liu

    Abstract Under the background of contemporary cultural protection and dynamic inheritance, the interpretation and re-expression of the artistic connotations of Chinese literati paintings have become the main direction of heritage research. Digital technology and multimedia expression have become important means of cultural expression and transmission. Most Chinese literati paintings are ink paintings

    更新日期:2020-02-04
  • QoI-aware incentive for multimedia crowdsensing enabled learning system
    Multimedia Syst. (IF 1.956) Pub Date : 2019-05-18
    Yiren Gu, Hang Shen, Guangwei Bai, Tianjing Wang, Xuejun Liu

    Abstract While much research has been devoted to algorithm improvement of the machine learning model for multimedia applications, relatively little research has focused on the acquisition of massive multimedia datasets with strict data demands for model training. In this paper, we propose a Quality-of-Information (QoI) aware incentive mechanism in multimedia crowdsensing, with the objective of promoting

    更新日期:2020-02-04
  • Person-independent facial expression recognition method based on improved Wasserstein generative adversarial networks in combination with identity aware
    Multimedia Syst. (IF 1.956) Pub Date : 2019-07-22
    Caie Xu, Yang Cui, Yunhui Zhang, Peng Gao, Jiayi Xu

    Abstract Since the distinction between two expressions is fairly vague, usually a subtle change in one part of the human face is enough to change a facial expression. Most of the existing facial expression recognition algorithms are not robust enough because they rely on general facial features or algorithms without considering differences between facial expression and facial identity. In this paper

    更新日期:2020-02-04
  • 3D point cloud registration denoising method for human motion image using deep learning algorithm
    Multimedia Syst. (IF 1.956) Pub Date : 2019-08-01
    Qidong Du

    Abstract Aiming at the problem of 3D point cloud noise affecting the efficiency and precision of human body 3D reconstruction in complex scenes, a 3D point cloud registration denoising method for human motion image using depth learning algorithm is proposed. First, two Kinect sensors are used to collect the three-dimensional data of the human body in the scene, and the spatial alignment under the Bursa

    更新日期:2020-02-04
  • Oriented grouping-constrained spectral clustering for medical imaging segmentation
    Multimedia Syst. (IF 1.956) Pub Date : 2019-06-29
    Kaijian Xia, Xiaoqing Gu, Yudong Zhang

    Abstract Original medical images are often inadequate for clinical diagnosis. Certain prior information can be used as an important basis for disease diagnosis and prevention. In this study, an oriented grouping-constrained spectral clustering method, OGCSC, is proposed to deal with medical image segmentation problems. OGCSC propagates the group information from the affinity matrix and subdivides the

    更新日期:2020-02-04
  • Fréchet mean-based Grassmann discriminant analysis
    Multimedia Syst. (IF 1.956) Pub Date : 2019-07-25
    Hongbin Yu, Kaijian Xia, Yizhang Jiang, Pengjiang Qian

    Abstract Representing image sets and videos with Grassmann manifold has become popular due to its powerful capability to extract discriminative information in machine learning research. However, existing techniques operations on Grassmann manifold are usually suffering from the problem of computational expensive, thus the application range of Grassmann manifold is limited. In this paper, we propose

    更新日期:2020-02-04
  • Three-dimensional laser image-filtering algorithm based on multi-source information fusion and adaptive offline fog computing
    Multimedia Syst. (IF 1.956) Pub Date : 2019-06-07
    Yan Wei

    Abstract To improve the image-processing accuracy and speed of laser three-dimensional imaging system, effectively filter the noise in the image, and effectively optimize the processing speed and image accuracy, this paper proposes an improved adaptive mean-shift image-filtering algorithm based on the traditional mean-shift-filtering algorithm. First, this paper introduces the traditional mean-shift-filtering

    更新日期:2020-02-04
  • Towards a real-time image/video cryptosystem: problems, analysis and recommendations
    Multimedia Syst. (IF 1.956) Pub Date : 2020-01-20
    Tasnime Omrani, Rabei Becheikh, Rhouma Rhouma

    Abstract With the massive use of images over the Internet, the security of some of them has become critical. One of the most used encryption algorithms is AES. Although this algorithm provides high security for text data, it is not suitable for images in view of their characteristics including correlation and redundancy. To have a more suitable and efficient algorithm for the encryption of images,

    更新日期:2020-01-21
  • Combining CNN streams of dynamic image and depth data for action recognition
    Multimedia Syst. (IF 1.956) Pub Date : 2020-01-14
    Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava

    Abstract RGB-D sensors have been in great demand due to its capability of producing large amount of multimodal data like RGB images and depth maps, useful for better training of deep learning models. In this paper, a deep learning model for recognizing human activities in a video sequence by combining multiple CNN streams has been proposed. The proposed work comprises the use of dynamic images generated

    更新日期:2020-01-15
  • Con(dif)fused voice to convey secret: a dual-domain approach
    Multimedia Syst. (IF 1.956) Pub Date : 2020-01-10
    C. Lakshmi, Vasudharini Moranam Ravi, K. Thenmozhi, John Bosco Balaguru Rayappan, Rengarajan Amirtharajan

    Abstract Owing to the rapid development and advancements in the field of networks and communication, sharing of multimedia contents over insecure networks has become vital. The confidentiality of audio signals is predominantly needed in military and intelligence bureau applications. The proposed algorithm addresses this issue by encrypting audio signal using chaotic maps in spatial and transform domain

    更新日期:2020-01-11
  • A context-aware mobile application framework using audio watermarking
    Multimedia Syst. (IF 1.956) Pub Date : 2020-01-09
    Yusuf Yaslan, Bilge Gunsel

    In this paper, we propose a proximity-based indoor positioning system which is capable of monitoring mobile device user’s indoor locations where the commonly used GPS signal is unavailable or weak. The designed system is aimed to be integrated into a context-aware communications system to prevent transmission of irrelevant content to all users but easing delivery of the location-based information.

    更新日期:2020-01-09
  • Keyframe extraction using Pearson correlation coefficient and color moments
    Multimedia Syst. (IF 1.956) Pub Date : 2019-12-18
    Reddy Mounika Bommisetty, Om Prakash, Ashish Khare

    Abstract Keyframe extraction plays a significant role in wide variety of real-time video processing applications such as video summarization, video management and retrieval, etc. A keyframe captures the whole content of its shot and does not contain any redundant information. The keyframe extraction algorithms are facing challenges due to different visual characteristics in videos of different categories

    更新日期:2020-01-04
  • Lifetime-aware solid-state disk (SSD) cache management for video servers
    Multimedia Syst. (IF 1.956) Pub Date : 2019-05-27
    Jungwoo Lee, Hwangje Han, Sungjin Lee, Minseok Song

    Abstract Solid-state disks (SSDs) are now being used as enterprise storage servers owing to their technical merits such as low power consumption, shock resistance, and excellent random read performance. To handle the large storage requirements for video data, they can be used as a cache for hard disk drives (HDDs) in video servers, but this poses several questions such as (1) which video segments can

    更新日期:2020-01-04
  • Toward efficient indexing structure for scalable content-based music retrieval
    Multimedia Syst. (IF 1.956) Pub Date : 2019-04-27
    Jialie Shen, Mei Tao, Qiang Qu, Dacheng Tao, Yong Rui

    With advancement of various information processing and storage techniques, the scale of digital music collections has been growing at very fast speed during recent decades. To support high-quality content-based retrieval over such a large volume of music data, how to develop indexing structure with good effectiveness, efficiency and scalability becomes an important research issue. However, existing

    更新日期:2020-01-04
  • A novel depth perception prediction metric for advanced multimedia applications
    Multimedia Syst. (IF 1.956) Pub Date : 2019-06-28
    Gokce Nur Yilmaz

    Abstract Ubiquitous multimedia applications diffuse our everyday life activities which appreciate their significance about improving our experiences. Therefore, proliferation of the multimedia applications enhancing these experiences needs critical attention of the researchers. Considering this motivation, to overcome the possible barrier of the proliferation of the 3D video-related multimedia applications

    更新日期:2020-01-04
  • Multi-guiding long short-term memory for video captioning
    Multimedia Syst. (IF 1.956) Pub Date : 2018-11-10
    Ning Xu, An-An Liu, Weizhi Nie, Yuting Su

    Recently, research interests have been paid for using recurrent neural network (RNN) as the decoder in video captioning task. However, the generated sentence seems to “lose track” of the video content due to the fixed language rule. Though existing methods try to “guide” the decoder and keep it “on track”, they mainly rely on a single-modal feature that does not fit the multi-modal (visual and semantic)

    更新日期:2020-01-04
  • Panorama based on multi-channel-attention CNN for 3D model recognition
    Multimedia Syst. (IF 1.956) Pub Date : 2019-02-07
    Weizhi Nie, Kun Wang, Qi Liang, Roubing He

    With the development of 3D model reconstruction, manufacturing, and 3D model vision technologies, 3D model recognition has attracted much attention recently. To handle the 3D model recognition problem, in this paper, we propose a panorama based on multi-channel-attention (MCA) CNN network for the representation of the 3D model. The proposed method is composed of three parts: extracting views, transform

    更新日期:2020-01-04
  • Deep learning-based automatic downbeat tracking: a brief review
    Multimedia Syst. (IF 1.956) Pub Date : 2019-03-12
    Bijue Jia, Jiancheng Lv, Dayiheng Liu

    Abstract As an important format of multimedia, music has filled almost everyone’s life. Automatic analyzing of music is a significant step to satisfy people’s need for music retrieval and music recommendation in an effortless way. Thereinto, downbeat tracking has been a fundamental and continuous problem in Music Information Retrieval (MIR) area. Despite significant research efforts, downbeat tracking

    更新日期:2020-01-04
  • Crowdsourced subjective 3D video quality assessment
    Multimedia Syst. (IF 1.956) Pub Date : 2019-05-22
    Emil Dumic, Kresimir Sakic, Luis A. da Silva Cruz

    Abstract This article proposes a new method for subjective 3D video quality assessment based on crowdsourced workers—Crowd3D. The limitations of traditional laboratory-based grade collection procedures are outlined, and their solution through the use of a crowd-based approach is described. Several conceptual and technical requirements of crowd-based 3D video quality assessment methods are identified

    更新日期:2020-01-04
  • Analyzing autostereoscopic environment configurations for the design of videogames
    Multimedia Syst. (IF 1.956) Pub Date : 2019-05-28
    José Martínez Sotoca, Miguel Chover, Inmaculada Remolar, Ricardo Loreto

    Stereoscopic devices are becoming more popular every day. The 3D visualization that these displays offer is being used by videogame designers to enhance the user’s game experience. Autostereoscopic monitors offer the possibility of obtaining this 3D visualization without the need for extra device. This fact makes them more attractive to videogame developers. However, the configuration of the cameras

    更新日期:2020-01-04
  • Fashion clothes matching scheme based on Siamese Network and AutoEncoder
    Multimedia Syst. (IF 1.956) Pub Date : 2019-05-16
    Guangyu Gao, Liling Liu, Li Wang, Yihang Zhang

    Owing to the rise of living standard, people attach greater importance to personal appearance, especially clothes matching. With image processing and machine learning technology, we can analyze the pattern of clothes matching for recommendation on clothes images. However, we still face great challenges. To be more specific, there exist excessive complicated factors influencing relation among clothes

    更新日期:2020-01-04
  • An app usage recommender system: improving prediction accuracy for both warm and cold start users
    Multimedia Syst. (IF 1.956) Pub Date : 2019-01-10
    Di Han, Jianqing Li, Wenting Li, Ruibin Liu, Hai Chen

    Abstract It is becoming increasingly difficult to find a particular app on a smartphone due to the increasing number of apps installed. Consequently, it is important to be able to quickly and accurately predict the next app to be used. Two problems arise in predicting next-app usage from the app usage history. One is that some algorithms do not consider the increasing amount of training data available

    更新日期:2020-01-04
  • Reconstruction of occluded ROI in multi-person gait based on numerical methods
    Multimedia Syst. (IF 1.956) Pub Date : 2019-11-20
    Jasvinder Pal Singh, Sanjeev Jain, Sakshi Arora, Uday Pratap Singh

    Abstract Occlusion is an important factor for analysis of human gait recognition in real-time scenarios. In multi-person gait (MPG) or dynamic occlusion, gait recognition is affected due to occluded body parts known as region of interests (ROIs). The aim of this article is to reconstruct the occluded ROIs and measure the errors associated with the reconstruction methods. The contribution of this article

    更新日期:2020-01-04
  • Digital audio signals encryption by Mobius transformation and Hénon map
    Multimedia Syst. (IF 1.956) Pub Date : 2019-11-18
    Dawood Shah, Tariq Shah, Sajjad Shoukat Jamal

    Abstract In data encryption, recently commonly used schemes are chaos-based due to their properties of sensitivity to initial conditions, control parameters, and pseudo-randomness. The chaotic crypto-algorithms are appropriate for extensive data encryption for images, audio or videos. In this paper, a novel audio encryption algorithm based on substitution and permutation network is proposed. In this

    更新日期:2020-01-04
  • Automatic news-roundup generation using clustering, extraction, and presentation
    Multimedia Syst. (IF 1.956) Pub Date : 2019-11-09
    Vincent Utomo, Jenq-Shiou Leu

    Abstract Along with the growth of the internet, the number of information published increased exponentially. This huge flow of information causes a problem called “information overload” which makes it harder for internet users to find key information they needed on the internet. To solve this, this paper proposes an application that helps user find trending news of their query/interest easily. Some

    更新日期:2020-01-04
  • A reliable and efficient micro-protocol for data transmission over an RTP-based covert channel
    Multimedia Syst. (IF 1.956) Pub Date : 2019-11-06
    Maryam Azadmanesh, Mojtaba Mahdavi, Behrouz Shahgholi Ghahfarokhi

    Abstract As the VoIP steganographic methods provide a low capacity covert channel for data transmission, an efficient and real-time data transmission protocol over this channel is required which provides reliability with minimum bandwidth usage. This paper proposes a micro-protocol for data embedding over covert storage channels or covert hybrid channels developed by steganographic methods where real-time

    更新日期:2020-01-04
  • Understanding minority costumes: a computer vision perspective
    Multimedia Syst. (IF 1.956) Pub Date : 2019-10-28
    Qian Zhang, Yu-cheng Yang, Shi-qin Yue, Ding-qin Shao, Lin Wang

    It is an extremely interesting work to understand the minority costumes in computer vision and ethnology community. It explored some crucial clue for understanding minority costumes via computer vision technology. As it known to all, complicated and subtle structure between different minority costumes lead it becomes hard work to recognize them with computer vision even people. An intelligent framework

    更新日期:2020-01-04
  • Recent evolution of modern datasets for human activity recognition: a deep survey
    Multimedia Syst. (IF 1.956) Pub Date : 2019-10-14
    Roshan Singh, Ankur Sonawane, Rajeev Srivastava

    Human activity recognition has been a significant goal of computer vision since its inception and has developed considerably in the last years. Recent approaches to this problem increasingly favour the use of data-driven deep learning methods. To facilitate the comparison of these methods, several datasets pertaining to labelled human activity have been created, having great variation in content and

    更新日期:2020-01-04
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