scholarly journals Multimedia Quality Integration Using Piecewise Function

2011 ◽  
Vol 1 ◽  
pp. 375-380
Author(s):  
Shu Ai Wan ◽  
Kai Fang Yang ◽  
Hai Yong Zhou
Keyword(s):  
Visual Quality ◽  
Experimental Results ◽  
Integration Model ◽  
Quality Performance ◽  
Piecewise Function ◽  
Proposed Model ◽  
Constant Coefficients ◽  
Theoretical Analyses ◽  
Different Levels

In this paper the important issue of multimedia quality evaluation is concerned, given the unimodal quality of audio and video. Firstly, the quality integration model recommended in G.1070 is evaluated using experimental results. Theoretical analyses aide empirical observations suggest that the constant coefficients used in the G.1070 model should actually be piecewise adjusted for different levels of audio and visual quality. Then a piecewise function is proposed to perform multimedia quality integration under different levels of the audio and visual quality. Performance gain observed from experimental results substantiates the effectiveness of the proposed model.

scholarly journals STRUKTUR JALAN LAYANG PROVINSI DKI JAKARTA: SEBUAH KAJIAN EVALUASI KUALITAS VISUAL

2019 ◽  
Vol 5 (1) ◽  
pp. 45-50
Author(s):  
Ray March Syahadat ◽  
Priambudi Trie Putra ◽  
Tandri Patih ◽  
Dimas Muhammad Thoifur ◽  
Fitria Nurhasanah ◽  
...  
Keyword(s):  
Urban Communities ◽  
Visual Quality ◽  
Semantic Differential ◽  
Capital City ◽  
Infrastructure Development ◽  
Scenic Beauty ◽  
Landscape Plants ◽  
Surrounding Environment ◽  
Different Levels

Rapid urban development demands a lot of infrastructure development. The development aims to support the activities of urban communities. Many research has been done on the structure, but the assessment of the visual quality of these structures is still very rarely done, especially in Indonesia. Flyovers are one of the structures that are often present in cities to solve congestion problems. Jakarta as the capital city, has many of these structures. Unfortunately, unwittingly adding structures can affect the visual quality of the surrounding environment. There are many ways to beautify these structures such as by adding plants, giving ornaments in the form of reliefs, to painting with mural art. The purpose of this article is to evaluate the visual quality of flyover structures. The methods used in this article include scenic beauty estimation (SBE), semantic differential (SD), factor analysis, multidimensional scaling, and Kendall’s W. The results obtained are different levels of visual quality of flyover structures based on the appearance of complementary ornaments. Based on SBE analysis, the structure with reliefs that were not colored showed poor visual quality with an SBE value of -46,483. High visual quality based on SBE analysis, namely the structure with the softscape element in the form of landscape plants (89,777). The impression caused by the structure with softscape elements in the form of landscape plants is considered shadier and attractive.

scholarly journals Multimodal Summarization with Guidance of Multimodal Reference

2020 ◽  
Vol 34 (05) ◽  
pp. 9749-9756
Author(s):  
Junnan Zhu ◽  
Yu Zhou ◽  
Jiajun Zhang ◽  
Haoran Li ◽  
Chengqing Zong ◽  
...  
Keyword(s):  
Objective Function ◽  
Evaluation Method ◽  
Reference Data ◽  
State Of The Art ◽  
Semantic Space ◽  
Experimental Results ◽  
Model Output ◽  
Proposed Model ◽  
Evaluation Metric

Multimodal summarization with multimodal output (MSMO) is to generate a multimodal summary for a multimodal news report, which has been proven to effectively improve users' satisfaction. The existing MSMO methods are trained by the target of text modality, leading to the modality-bias problem that ignores the quality of model-selected image during training. To alleviate this problem, we propose a multimodal objective function with the guidance of multimodal reference to use the loss from the summary generation and the image selection. Due to the lack of multimodal reference data, we present two strategies, i.e., ROUGE-ranking and Order-ranking, to construct the multimodal reference by extending the text reference. Meanwhile, to better evaluate multimodal outputs, we propose a novel evaluation metric based on joint multimodal representation, projecting the model output and multimodal reference into a joint semantic space during evaluation. Experimental results have shown that our proposed model achieves the new state-of-the-art on both automatic and manual evaluation metrics. Besides, our proposed evaluation method can effectively improve the correlation with human judgments.

scholarly journals Description and Quality Assessment of Poetry Translation: Application of a Linguistic Model

2020 ◽  
pp. 1-23
Author(s):  
Yuanyi Ma ◽  
Bo Wang
Keyword(s):  
Quality Assessment ◽  
Systemic Functional Linguistics ◽  
Translation Studies ◽  
Contextual Analysis ◽  
Linguistic Model ◽  
Poetry Translation ◽  
Proposed Model ◽  
Linguistic Analyses ◽  
Different Levels

Abstract This article presents a linguistic model, based on systemic functional linguistics (SFL), for describing and comparing poetry translations. The proposed model takes both the form and meaning of poetry into consideration and involves linguistic analyses at the levels of graphology, phonology, lexicogrammar and context. To illustrate the applicability of the model, we offer an analysis of Rabindranath Tagore’s Stray Birds in English and its three Chinese translations, point out the choices made by Tagore and the translators at different levels, and discuss the translation shifts in the target texts. On the basis of a contextual analysis, we relate the target texts with the Chinese norms of translation and comment on the quality of the translations. Our intention is to prove that linguistic theories offer a powerful tool for analysing poetry translation and offer new possibilities in translation studies from the perspective of SFL.

scholarly journals The secure steganography for hiding images via GAN

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Zhangjie Fu ◽  
Fan Wang ◽  
Xu Cheng
Keyword(s):  
Deep Learning ◽  
Color Image ◽  
Visual Quality ◽  
Learning Networks ◽  
Secret Data ◽  
Rapid Improvement ◽  
Proposed Model ◽  
Adversarial Training ◽  
Human Eyes

Abstract Steganography is one of the important methods in the field of information hiding, which is the technique of hiding secret data within an ordinary file or message in order to avoid the detection of steganalysis models and human eyes. In recent years, many scholars have applied various deep learning networks to the field of steganalysis to improve the accuracy of detection. The rapid improvement of the accuracy of steganalysis models has caused a huge threat to the security of steganography. In addition, another important factor that limits the security of steganography is capacity. The larger the capacity, the worse and more unnatural the visual quality of carrier images after embedded. Therefore, this paper proposes a steganography model—HIGAN, which constructs the encoding network composed of residual blocks to hide the color secret image into another color image of the same size to output a lower distortion and higher visual quality steganographic image. Moreover, it utilizes the adversarial training between the encoder-decoder network and the steganalysis model to improve the ability to resist the detection of steganalysis models based on deep learning. The experimental results show that our proposed model is achievable and effective. Compared with the previous steganography model for hiding color images based on deep learning, the steganography model in this article could achieve steganographic images with higher visual quality and stronger security.

Wavelet-Based Steganography against Histogram Analysis

2010 ◽  
Vol 40-41 ◽  
pp. 469-472
Author(s):  
Yan Hui Li ◽  
Yu Liang Gao
Keyword(s):  
Wavelet Transform ◽  
Wavelet Coefficient ◽  
Visual Quality ◽  
Experimental Results ◽  
Histogram Analysis ◽  
Wavelet Coefficients ◽  
Stego Image ◽  
Absolute Value ◽  
Secret Information

Histogram analysis for wavelet coefficients is powerful steganalysis for detecting the presence of secret information embedded in the wavelet coefficients. In order to improve the security, a wavelet-based steganography against histogram analysis is presented. First, a cover image is divided into blocks, and every block is decomposed into wavelet. Then, if the secret bit is not same as the information denoted by nonzero wavelet coefficient, the absolute value of wavelet coefficient is subtracted by 1, if the value of wavelet coefficient was 0 after embedding the secret bit, the secret bit should be embedded into next wavelet coefficient. If the sum of wavelet coefficients is large, the wavelet coefficients of next level should be embedded by secret information. Finally, the stego-image can be obtained by using the inverse wavelet transform. From the experimental results, the proposed method could effectively keep the identity of histogram for wavelet coefficients and maintain a good visual quality of stego-image.

scholarly journals THE INTEGRATED METHOD TO THE MAP MATERIAL STORAGE IN RUSSIAN PRACTICE: FROM ANALOG TO DIGITAL

2021 ◽  
Vol 26 (3) ◽  
pp. 100-107
Author(s):  
Natalya S. Kopylova ◽  
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Integration Model ◽  
Analog To Digital ◽  
Integrated Method ◽  
Use Of Data ◽  
Proposed Model ◽  
Map Data ◽  
Effective Use

The article analyzes the map data source storage in analog and digital form by means of various funds, agencies, organizations, libraries, private collections on the basis of an integration method. A conceptual integration model for the map material storage based on a hierarchical, tree-like topological structure has been developed. The topology of the map material storage was built and a conceptual model was presented. The defects in the creation and dissemination of materials (data), weakening the overall quality of the model, are noted. The prospects for the development of the industry of geodesy, cartography and spatial data, which will have a beneficial effect on the quality of the presented model, are noted. The proposed model of storage of cartographic materials demonstrates, for the most part, the Russian experience. It is concluded that against the background of the growing volume of spatial information about terrain feature, structuring and storing information, including in the form of map materials, is an important aspect in the effective use of data for making different levels of decisions.

High-Capacity Reversible Data Hiding Using Modified Pixel Value Ordering Approach

2018 ◽  
Vol 27 (11) ◽  
pp. 1850175 ◽  
Author(s):  
Neeraj Kumar Jain ◽  
Singara Singh Kasana
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Capacity ◽  
Visual Quality ◽  
Experimental Results ◽  
Cover Image ◽  
Embedding Capacity ◽  
Signal Process ◽  
Pixel Value

The proposed reversible data hiding technique is the extension of Peng et al.’s technique [F. Peng, X. Li and B. Yang, Improved PVO-based reversible data hiding, Digit. Signal Process. 25 (2014) 255–265]. In this technique, a cover image is segmented into nonoverlapping blocks of equal size. Each block is sorted in ascending order and then differences are calculated on the basis of locations of its largest and second largest pixel values. Negative predicted differences are utilized to create empty spaces which further enhance the embedding capacity of the proposed technique. Also, the already sorted blocks are used to enhance the visual quality of marked images as pixels of these blocks are more correlated than the unsorted pixels of the block. Experimental results show the effectiveness of the proposed technique.

Connected-Tube MPP Model for Unsupervised 3D Fiber Detection

2020 ◽  
Vol 2020 (14) ◽  
pp. 305-1-305-6
Author(s):  
Tianyu Li ◽  
Camilo G. Aguilar ◽  
Ronald F. Agyei ◽  
Imad A. Hanhan ◽  
Michael D. Sangid ◽  
...  
Keyword(s):  
Composite Material ◽  
Point Process ◽  
Marked Point ◽  
Experimental Results ◽  
Marked Point Process ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Proposed Model ◽  
Cylinder Model ◽  
Reinforced Composite Material

In this paper, we extend our previous 2D connected-tube marked point process (MPP) model to a 3D connected-tube MPP model for fiber detection. In the 3D case, a tube is represented by a cylinder model with two spherical areas at its ends. The spherical area is used to define connection priors that encourage connection of tubes that belong to the same fiber. Since each long fiber can be fitted by a series of connected short tubes, the proposed model is capable of detecting curved long tubes. We present experimental results on fiber-reinforced composite material images to show the performance of our method.

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

Enhancing Visual Quality of Multi-view 360 Video Compression Pipeline

2019 ◽  
pp. 135
Author(s):  
Junyoung Yun ◽  
Hong-Chang Shin ◽  
Gwangsoon Lee ◽  
Jong-Il Park
Keyword(s):  
Video Compression ◽  
Visual Quality
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