• Title/Summary/Keyword: Subjective Estimation

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Hybrid Deinterlacing Algorithm with Motion Vector Smoothing

  • Khvan, Dmitriy;Jeon, Gwanggil;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.262-265
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    • 2012
  • In this paper we propose a new deinterlacing method with block classification and motion vector smoothing. The proposed method classifies a block, then depending on the region it belongs to, the motion estimation or line averaging is applied. To classify a block its variance is calculated. Then, for those blocks that belong to simple non-texture region the line averaging is done while motion estimation is applied to complex region. The motion vector field is smoothed using median filter what yields more accurate interpolation. In the experiments for the subjective evaluation, the proposed method bas shown satisfying results in terms of computation time consumption and peak signal-to-noise ratio. Due to the simplicity of the algorithm computation time was drastically decreased.

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Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segmentation

  • Zhang, Yizhang;Tang, Guijin;Liu, Xiaohua;Sun, Changming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.9
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    • pp.4375-4388
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    • 2018
  • To solve the problem of transmission errors in stereoscopic images, this paper proposes a novel error concealment (EC) method using superpixel segmentation and adaptive disparity selection (SSADS). Our algorithm consists of two steps. The first step is disparity estimation for each pixel in a reference image. In this step, the numbers of superpixel segmentation labels of stereoscopic images are used as a new constraint for disparity matching to reduce the effect of mismatching. The second step is disparity selection for a lost block. In this step, a strategy based on boundary smoothness is proposed to adaptively select the optimal disparity which is used for error concealment. Experimental results demonstrate that compared with other methods, the proposed method has significant advantages in both objective and subjective quality assessment.

Enhanced Maximum Voiced Frequency Estimation Scheme for HTS Using Two-Band Excitation Model

  • Park, Jihoon;Hahn, Minsoo
    • ETRI Journal
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    • v.37 no.6
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    • pp.1211-1219
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    • 2015
  • In a hidden Markov model-based speech synthesis system using a two-band excitation model, a maximum voiced frequency (MVF) is the most important feature as an excitation parameter because the synthetic speech quality depends on the MVF. This paper proposes an enhanced MVF estimation scheme based on a peak picking method. In the proposed scheme, both local peaks and peak lobes are picked from the spectrum of a linear predictive residual signal. The average of the normalized distances of local peaks and peak lobes is calculated and utilized as a feature to estimate an MVF. Experimental results of both objective and subjective tests show that the proposed scheme improves the synthetic speech quality compared with that of a conventional one in a mobile device as well as a PC environment.

Impulsive noise filtering in severely corrupted color images using detection-estimation based approaches (심하게 손상된 칼라 영상의 잡음 검출 방식을 이용한 임펄스 잡음 제거 기술)

  • 이규철;최윤정;손광훈
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.6B
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    • pp.1021-1027
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    • 2000
  • In this paper, we propose two new detection-estimation based algorithms that effectively remove impulsive noises in severely corrupted color images. The existing methods for enhancing corrupted color images with impulsive noises commonly possess the inherent problems of excessive computing time and smoothing out edges. However, since our proposed algorithms classify corrupted pixels first in each channel or in each pixel and then perform marginal or vector median filtering only for them, are computationally efficient and preserve edges well. In addition, since there are no appropriate criteria to evaluate the performance of impulsive noise detectors for color images, the objective comparison of noise detectors is difficult. Thus, we introduce a new efficiency factor to compare the performance of noise detectors in digital color images. Simulation results show that the proposed algorithms perform better than the existing methods in terms of both objective and subjective evaluat ons.

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A review of missing video frame estimation techniques for their suitability analysis in NPP

  • Chaubey, Mrityunjay;Singh, Lalit Kumar;Gupta, Manjari
    • Nuclear Engineering and Technology
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    • v.54 no.4
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    • pp.1153-1160
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    • 2022
  • The application of video processing techniques are useful for the safety of nuclear power plants by tracking the people online on video to estimate the dose received by staff during work in nuclear plants. Nuclear reactors remotely visually controlled to evaluate the plant's condition using video processing techniques. Internal reactor components should be frequently inspected but in current scenario however involves human technicians, who review inspection videos and identify the costly, time-consuming and subjective cracks on metallic surfaces of underwater components. In case, if any frame of the inspection video degraded/corrupted/missed due to noise or any other factor, then it may cause serious safety issue. The problem of missing/degraded/corrupted video frame estimation is a challenging problem till date. In this paper a systematic literature review on video processing techniques is carried out, to perform their suitability analysis for NPP applications. The limitation of existing approaches are also identified along with a roadmap to overcome these limitations.

Roadway Preliminary Cost Estimation Prototype based on BIM and GIS (BIM/GIS 기반 도로 개략공사비 산정 프로토타입 연구)

  • Park, Wonyoung;Kang, Tai-Kyung;Lee, Yoo-Sub
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.6
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    • pp.14-21
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    • 2013
  • While a detailed cost estimation utilizes the comprehensive quantity information obtained from a complete drawing and specification, an approximate cost estimation heavily relies on the subjective decisions. This phenomenon is because the approximate estimation is usually conducted in early stage of the construction phase where the drawing and specification are not available. This study developed a roadway construction cost estimation system which enables users to estimate the approximated cost of the project in early stage. The system identifies the variation of the construction costs due to the road route change using a cased based reasoning(CBR) method. Overall the system is expected to improves the accuracy and effectiveness of the estimation process, because it would provide users with increased accessability and consistent results in early stage of the project which leaded to the increased work transparency.

Bayesian Interval Estimation of Tobit Regression Model (토빗회귀모형에서 베이지안 구간추정)

  • Lee, Seung-Chun;Choi, Byung Su
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.737-746
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    • 2013
  • The Bayesian method can be applied successfully to the estimation of the censored regression model introduced by Tobin (1958). The Bayes estimates show improvements over the maximum likelihood estimate; however, the performance of the Bayesian interval estimation is questionable. In Bayesian paradigm, the prior distribution usually reflects personal beliefs about the parameters. Such subjective priors will typically yield interval estimators with poor frequentist properties; however, an objective noninformative often yields a Bayesian procedure with good frequentist properties. We examine the performance of frequentist properties of noninformative priors for the Tobit regression model.

Video Content-Based Bit Rate Estimation Scheme for Transcoding in IPTV Services

  • Cho, Hye Jeong;Sohn, Chae-Bong;Oh, Seoung-Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.3
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    • pp.1040-1057
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    • 2014
  • In this paper, a new bit rate estimation scheme is proposed to determine the bit rate for each subclass in an MPEG-2 TS to H.264/AVC transcoder after dividing an input MPEG-2 TS sequence into several subclasses. Video format transcoding in conventional IPTV and Smart TV services is a time-consuming process since the input sequence should be fully transcoded several times with different bit-rates to decide the bit-rate suitable for a service. The proposed scheme can automatically decide the bit-rate for the transcoded video sequence in those services which can be stored on a video streaming server as small as possible without losing any subject quality loss. In the proposed scheme, an input sequence to the transcoder is sub-classified by hierarchical clustering using a parameter value extracted from each frame. The candidate frames of each subclass are used to estimate the bit rate using a statistical analysis and a mathematical model. Experimental results show that the proposed scheme reduces the bit rate by, on an average approximately 52% in low-complexity video and 6% in high-complexity video with negligible degradation in subjective quality.

Novel De-interlacing Algorithm Using All Direction Edges Estimation Technique (전 방향 에지 예측 기법을 이용한 De-interlacing 알고리듬)

  • Ku, Su-Il;Lee, Se-Young;Kang, Kun-Hwa;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.9C
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    • pp.725-733
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    • 2008
  • This paper proposed a novel do-interlacing algorithm using all direction edges estimation technique. In the proposed algorithm. previously developed the DOI(Direction-Oriented Interpolation) algorithm was used as a basis. The do-interlacing method was divided into two main parts. First, we should estimate edge direction. Then, missing pixel: were interpolated along with the decided edge. In this paper, after estimating the edge through the DOI algorithm considering high angle edge direction, missing pixels were interpolated by using the median filter. Experimental results indicate that the proposed algorithm is superior to the conventional algorithms in terms of the objective and subjective criteria.

A study on the Assessment of Standard Wages for Constructing Luminaries for Landscope Lighting (경관조명기구의 설치에 대한 기준노임 산정에 관한 연구)

  • Yoo, Dong-Gil;Lee, Bok-Hee;Lee, Sok-Yeon
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.10a
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    • pp.169-172
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    • 2008
  • Recently, landscape lighting is more and more installing in many places such as park, cultural heritages, large-scale structures, bridges, apartment, and so on. However, there is no the government-set official estimation for standard wages constructing luminaries for landscape lighting. The cost of construction is estimated based on the standard wages of related-similar installations such as internal lighting fixtures or the designer's subjective decision. Sometimes, it is overestimated or underestimated. In this paper, the fundamental process for estimating the standard wages constructing luminaries for landscape lighting is studied. The estimation method of standard wages constructing lighting fixtures was examined on the basis of the type and capacities of luminaries, installation places, type and shapes of installation auxiliary materials, worker's skill, and etc. As a result, some results obtained in this work were significantly, different with the standard wages for internal electric wiring published by Korea Electric Association. In the future, to improve the accuracy of the estimation of the standard wages for constructing luminaries for landscope lighting, detailed factors related to the installation condition and dimensions and types of luminaries should be considered.

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