• Title/Summary/Keyword: Feature Film

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Blotch Detection using Color and Shape feature (컬러와 형태 특징을 이용한 블로치 검출)

  • Kim, Byung-Geun;Kim, Kyung-Tai;Kim, Eun-Yi
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.547-551
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    • 2009
  • In recent years, a film restoration has gained increasing attention by many researchers, to emergence of variety multimedia and to importance of video preservation. Blotch is the most frequent degradation in old film. This paper presents a blotch detection method using color and shape feature. The proposed method is two major modules: a SROD detector using impulsive feature and NN-based detector using shape feature. To assess the validity of the proposed method, the experiments have been performed on several old films.

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Story of the monkey: The modular narrative and its origin of

  • Wang, Lei
    • Cartoon and Animation Studies
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    • s.29
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    • pp.61-75
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    • 2012
  • The essay explores the narrative structure of the classical Chinese feature animation, (a.k.a. Da Nao Tian Gong, 1964). The film is presented with a modular structure which is quite unique compared with the storytelling in feature animated films from other cultures, but could be connected with the tradition narrative structure in Chinese Zhanghui style novels in Ming and Qing Dynasty. By relating the original text of the story, the 16th century novel Journey to the West (a.k.a. Xi You Ji), with the film , the essay addresses the question of how the narrative tradition in Chinese classical literature influenced the Uproar in Heave for its segment narrative structure, character driven storytelling strategy and mirrored repetitive 2 plot lines. The subject of this essay is even more significant after the restored 3D version of was re-released in the spring of 2012 and became one of the best-selling animated feature film in the history of the country.

Feature Scale Simulation of Selective Chemical Vapor Deposition Process

  • Yun, Jong-Ho
    • Journal of the Korean Vacuum Society
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    • v.4 no.S1
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    • pp.190-195
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    • 1995
  • The feature scale model for selective chemical vapor deopsition process was proposed and the simulation was performed to study the selectivity and uniformity of deposited thin film using Monte Carlo method and string algorithm. The effect of model parameters such as sticking coefficient, aspect ratio, and surface diffusion coefficient on the deposited thin film pattern was improved for lower sticking coefficient and higher aspect ratio. It was revealed that the selectivity loss ascrives to the surface diffusion. Different values of sticking coefficients on Si and on SiO2 surface greatly influenced the deopsited thin film profile. In addition, as the lateral wall angle decreased, the selectively deposited film had improved uniformity except the vicinity of trench wall. The optimum eondition for the most flat selective film deposition pattern is the case with low sticking coefficient and slightly increased surface diffusion coefficient.

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Comparing Machine Learning Classifiers for Movie WOM Opinion Mining

  • Kim, Yoosin;Kwon, Do Young;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.8
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    • pp.3169-3181
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    • 2015
  • Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

Semi-fragile Watermarking Scheme for H.264/AVC Video Content Authentication Based on Manifold Feature

  • Ling, Chen;Ur-Rehman, Obaid;Zhang, Wenjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.12
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    • pp.4568-4587
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    • 2014
  • Authentication of videos and images based on the content is becoming an important problem in information security. Unfortunately, previous studies lack the consideration of Kerckhoffs's principle in order to achieve this (i.e., a cryptosystem should be secure even if everything about the system, except the key, is public knowledge). In this paper, a solution to the problem of finding a relationship between a frame's index and its content is proposed based on the creative utilization of a robust manifold feature. The proposed solution is based on a novel semi-fragile watermarking scheme for H.264/AVC video content authentication. At first, the input I-frame is partitioned for feature extraction and watermark embedding. This is followed by the temporal feature extraction using the Isometric Mapping algorithm. The frame index is included in the feature to produce the temporal watermark. In order to improve security, the spatial watermark will be encrypted together with the temporal watermark. Finally, the resultant watermark is embedded into the Discrete Cosine Transform coefficients in the diagonal positions. At the receiver side, after watermark extraction and decryption, temporal tampering is detected through a mismatch between the frame index extracted from the temporal watermark and the observed frame index. Next, the feature is regenerate through temporal feature regeneration, and compared with the extracted feature. It is judged through the comparison whether the extracted temporal watermark is similar to that of the original watermarked video. Additionally, for spatial authentication, the tampered areas are located via the comparison between extracted and regenerated spatial features. Experimental results show that the proposed method is sensitive to intentional malicious attacks and modifications, whereas it is robust to legitimate manipulations, such as certain level of lossy compression, channel noise, Gaussian filtering and brightness adjustment. Through a comparison between the extracted frame index and the current frame index, the temporal tempering is identified. With the proposed scheme, a solution to the Kerckhoffs's principle problem is specified.

Qualitative Analysis of Film Thickness in Elastohydrodynamic Lubrication (탄성 유체 윤활에서의 유막 두께 측정에 관한 정성적 분석)

  • 최언진;박경근;장시열
    • Tribology and Lubricants
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    • v.16 no.5
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    • pp.317-323
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    • 2000
  • The film thickness and shape of elastohydrodynamic lubrication is measured by optical interferometer, which is the most precise method for EHL film measurement. However, the interpretation of the image pattern from optical viscometer is not simple for two-dimensional shape. A newly developed method of image processing makes it possible to evaluate the film thickness and shape in every point of contact region with two dimensional aspects. In this study, we captured the film shape of EHL film by the monochromatic incident light and analyzed the film thickness with the image processing method, which uses phase shift method. From the values of intensity in fringes, the qualitative feature of film thickness in the contact area are obtained by using Zernike polynomial

RF Integrated Electromagnetic-Noise Filters Incorporated with Nano-granular Co41Fe38AI13O8 Soft Magnetic Thin Films on Coplanar Transmission Line

  • Sohn, Jae-Cheon;Yamaguchi Masahiro;Lim, Sang-Ho;Han, Suk-Hee
    • Journal of Magnetics
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    • v.10 no.4
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    • pp.163-170
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    • 2005
  • The RF integrated noise filters are fabricated by photolithography. The stack for the electromagnetic noise filters consists of the nano-granular ($Co_{41}Fe_{38}AI_{13}O_8$) soft magnetic film / $SiO_2$ / Cu transmission line / seed layer (Cu/Ti) / $SiO_2$-substrate. A good signal-attenuation feature along with a low signal-reflection feature is observed in the present filters. Especially in the noise filter incorporated with a $Co_{41}Fe_{38}AI_{13}O_8$ magnetic film with lateral dimensions of $2000{\mu}m$ wide, 15 mm long and $1{\mu}m$ thick, the maximum magnitude of signal attenuation reaches -55 dB, and the magnitude of signal reflection is below -10 dB in the overall frequency range. And this level of signal attenuation is much larger than that of a noise filter incorporated with a Fe magnetic film.

An effective classification method for TFT-LCD film defect images using intensity distribution and shape analysis (명암도 분포 및 형태 분석을 이용한 효과적인 TFT-LCD 필름 결함 영상 분류 기법)

  • Noh, Chung-Ho;Lee, Seok-Lyong;Zo, Moon-Shin
    • Journal of Korea Multimedia Society
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    • v.13 no.8
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    • pp.1115-1127
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    • 2010
  • In order to increase the productivity in manufacturing TFT-LCD(thin film transistor-liquid crystal display), it is essential to classify defects that occur during the production and make an appropriate decision on whether the product with defects is scrapped or not. The decision mainly depends on classifying the defects accurately. In this paper, we present an effective classification method for film defects acquired in the panel production line by analyzing the intensity distribution and shape feature of the defects. We first generate a binary image for each defect by separating defect regions from background (non-defect) regions. Then, we extract various features from the defect regions such as the linearity of the defect, the intensity distribution, and the shape characteristics considering intensity, and construct a referential image database that stores those feature values. Finally, we determine the type of a defect by matching a defect image with a referential image in the database through the matching cost function between the two images. To verify the effectiveness of our method, we conducted a classification experiment using defect images acquired from real TFT-LCD production lines. Experimental results show that our method has achieved highly effective classification enough to be used in the production line.

Multi Fingertip Detection Method (다중 손끝점 검출 기법)

  • Yu, Sunjin;Koh, Wan Ki;Kim, Sang Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1718-1720
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    • 2013
  • 본 논문에서는 다중 손 끝점 검출을 위해 특징 추출 기법 및 이를 기반으로 한 손 끝점 검출 알고리즘을 제안한다. 특징 추출을 위해 Local Binary Feature(LBP)을 사용하였고 특징의 차원을 축소하기 위해 Principal Component Analysis(PCA) 기법을 이용하였다. 손 끝점 판별을 위해 Reduced multivariate polynomial Model(RM) Classifier를 사용하여 실험 결과 제안된 손 끝점 검출 기법이 다양한 환경에서 동작 하는 것을 확인 하였다.

Aesthetics and Meaning of Split Screen: Focusing on Feature Film (화면 분할의 미학과 의미 - 극영화를 중심으로)

  • Chang, Woo-Jin
    • The Journal of the Korea Contents Association
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    • v.12 no.1
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    • pp.154-165
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    • 2012
  • In this paper, I examine the history of split screens, primarily seek to explain types of them, and explore the narrative meaning of each type in feature films. In short, I try to categorize the types of split screens and present a figure of them according to events and characters, focusing the relations between/among simultaneous images and narrative meanings. In addition, I assert that split screen have altered some methods of filmic storytelling and the ontology of screen. Story lines no longer have to be linear and the screen need not to remain a window through which we can see another world. The screen has come to be a canvas upon which several images can be arranged for narrative purposes.