14 research outputs found

    Semiotics Analysis On Melancholic Mandarin Pop Music Video Entitled Wandering Poet By Jolin Tsai

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    Keywords : Semiotics, Signs, Music video, Mandarin popMandarin Music Video as one of entertainment media capture the prominent theme of the society. Entertainment media seem very helpful for the society to gain their solace because they can contemplate their experience through the video. This study examines the signs found in Jolin Tsai's music video entitled Wandering Poet and interprets the meaning of each sign. This study is conducted to answer two problems: (1) What are the semiotics signs found in Jolin Tsai's Music Video entitled Wandering Poet? (2) What are the interpretations of semiotics signs that found in the Music Video entitled Wandering Poet?.Since the study is related with interpretation in music video, the writer uses qualitative method by using document analysis as a proper method. The writer opted Jolin Tsai's music video entitled Wandering Poet because the application of black and white has plentiful meanings which related to the prominent theme of Chinese society, isolation and loneliness. The writer accumulates the scenes and then places them based on theme and context. The writer only concentrates on drama scene rather than others since the signs mostly appear on it. In this study, the writer classifies the signs by using Peirce's typology of signs (1958) and provides the interpretation of each signs indenotative and connotative forms. In order to get more appropriate meaning, thetheory of color by He (2009) is used to enhance the meaning of symbol based onChinese culture.The writer found all types of sign based on Peirce's typology of sign (1958). The most frequently appearing type is Icon which is 162. Icons mostly appear in a form of visual object since it resembles a thing it signifies. The second frequently appearing type is symbol which is 75. Symbols appear in the form of text and ideas which is built by certain society. Then, the least frequently appearing type is Index which is 57. Indexes appear in the form of gesture and expression. of the actors.Signs appear in Jolin Tsai's music video entitled Wandering Poet shows that all types of signs merge together to deliver a story.The influence of Chinese culture is very prominent in this video because most of the signs have Chinese elements within it. For the future researchers, the writer suggests to choose another type of music video such as performing based music video and concept based music video for broaden variation in semiotic on music video

    SEMIOTICS ANALYSIS ON MELANCHOLIC MANDARIN POP MUSIC VIDEO ENTITLED WANDERING POET BY JOLIN TSAI

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    Keywords : Semiotics, Signs, Music video, Mandarin popMandarin Music Video as one of entertainment media capture the prominent theme of the society. Entertainment media seem very helpful for the society to gain their solace because they can contemplate their experience through the video. This study examines the signs found in Jolin Tsai’s music video entitled Wandering Poet and interprets the meaning of each sign. This study is conducted to answer two problems: (1) What are the semiotics signs found in Jolin Tsai’s Music Video entitled Wandering Poet? (2) What are the interpretations of semiotics signs that found in the Music Video entitled Wandering Poet?.Since the study is related with interpretation in music video, the writer uses qualitative method by using document analysis as a proper method. The writer opted Jolin Tsai’s music video entitled Wandering Poet because the application of black and white has plentiful meanings which related to the prominent theme of Chinese society, isolation and loneliness. The writer accumulates the scenes and then places them based on theme and context. The writer only concentrates on drama scene rather than others since the signs mostly appear on it. In this study, the writer classifies the signs by using Peirce’s typology of signs (1958) and provides the interpretation of each signs indenotative and connotative forms. In order to get more appropriate meaning, thetheory of color by He (2009) is used to enhance the meaning of symbol based onChinese culture.The writer found all types of sign based on Peirce’s typology of sign (1958). The most frequently appearing type is Icon which is 162. Icons mostly appear in a form of visual object since it resembles a thing it signifies. The second frequently appearing type is symbol which is 75. Symbols appear in the form of text and ideas which is built by certain society. Then, the least frequently appearing type is Index which is 57. Indexes appear in the form of gesture and expression. of the actors.Signs appear in Jolin Tsai’s music video entitled Wandering Poet shows that all types of signs merge together to deliver a story.The influence of Chinese culture is very prominent in this video because most of the signs have Chinese elements within it. For the future researchers, the writer suggests to choose another type of music video such as performing based music video and concept based  music video for broaden variation in semiotic on music video. Â

    Keyframe Selection of Frame Similarity to Generate Scene Segmentation Based on Point Operation

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    Video segmentation has been done by grouping similar frames according to the threshold. Two-frame similarity calculations have been performed based on several operations on the frame: point operation, spatial operation, geometric operation and arithmatic operation. In this research, similarity calculations have been applied using point operation: frame difference, gamma correction and peak signal to noise ratio. Three-point operation has been performed in accordance with the intensity and pixel frame values. Frame differences have been operated based on the pixel value level. Gamma correction has analyzed pixel values and lighting values. The peak signal to noise ratio (PSNR) has been related to the difference value (noise) between the original frame and the next frame. If the distance difference between the two frames was smaller then the two frames were more similar. If two frames had a higher gamma correction factor, then the correction factor would have an increasingly similar effect on the two frames. If the value of PSNR was greater then the comparison of two frames would be more similar. The combination of the three point operation methods would be able to determine several similar frames incorporated in the same segmen

    Movie/Script: Alignment and Parsing of Video and Text Transcription

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    Movies and TV are a rich source of diverse and complex video of people, objects, actions and locales “in the wild”. Harvesting automatically labeled sequences of actions from video would enable creation of large-scale and highly-varied datasets. To enable such collection, we focus on the task of recovering scene structure in movies and TV series for object tracking and action retrieval. We present a weakly supervised algorithm that uses the screenplay and closed captions to parse a movie into a hierarchy of shots and scenes. Scene boundaries in the movie are aligned with screenplay scene labels and shots are reordered into a sequence of long continuous tracks or threads which allow for more accurate tracking of people, actions and objects. Scene segmentation, alignment, and shot threading are formulated as inference in a unified generative model and a novel hierarchical dynamic programming algorithm that can handle alignment and jump-limited reorderings in linear time is presented. We present quantitative and qualitative results on movie alignment and parsing, and use the recovered structure to improve character naming and retrieval of common actions in several episodes of popular TV series

    Optimal grouping-of-pictures in IoT video streams

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    We study a dynamic video encoder that detects scene changes and tunes the synthesis of Groups-of-Pictures accordingly. Such dynamic encoding can be applied to infrastructures with restricted resources, like IoT facilities where multimedia streams are of use. In such facilities the scarcity of resources (energy, bandwidth, etc.) is a dominant solution design factor. In the domain of video capturing/transmission content-driven approaches should be adopted to improve efficiency while maintaining quality at acceptable levels. We propose a time-optimized decision making model that yields different sizes of groups-of-pictures (frames) to meet the previously discussed objectives i.e., transmit video sequences in acceptable quality with rational use of the wireless resources. Our quantitative findings show that the propose scheme performs quite efficiently while dispatching video sequences with different characteristics

    Learning Discrete-Time Markov Chains Under Concept Drift

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    Learning under concept drift is a novel and promising research area aiming at designing learning algorithms able to deal with nonstationary data-generating processes. In this research field, most of the literature focuses on learning nonstationary probabilistic frameworks, while some extensions about learning graphs and signals under concept drift exist. For the first time in the literature, this paper addresses the problem of learning discrete-time Markov chains (DTMCs) under concept drift. More specifically, following a hybrid active/passive approach, this paper introduces both a family of change-detection mechanisms (CDMs), differing in the required assumptions and performance, for detecting changes in DTMCs and an adaptive learning algorithm able to deal with DTMCs under concept drift. The effectiveness of both the proposed CDMs and the adaptive learning algorithm has been extensively tested on synthetically generated experiments and real data sets

    Video scene segmentation using Markov chain Monte Carlo

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    Videos are composed of many shots that are caused by different camera operations, e.g., on/off operations and switching between cameras. One important goal in video analysis is to group the shots into temporal scenes, such that all the shots in a single scene are related to the same subject, which could be a particular physical setting, an ongoing action or a theme. In this paper, we present a general framework for temporal scene segmentation in various video domains. The proposed method is formulated in a statistical fashion and uses the Markov chain Monte Carlo (MCMC) technique to determine the boundaries between video scenes. In this approach, a set of arbitrary scene boundaries are initialized at random locations and are automatically updated using two types of updates: diffusion and jumps. Diffusion is the process of updating the boundaries between adjacent scenes. Jumps consist of two reversible operations: the merging of two scenes and the splitting of an existing scene. The posterior probability of the target distribution of the number of scenes and their corresponding boundary locations is computed based on the model priors and the data likelihood. The updates of the model parameters are controlled by the hypothesis ratio test in the MCMC process, and the samples are collected to generate the final scene boundaries. The major advantage of the proposed framework is two-fold: 1) it is able to find the weak boundaries as well as the strong boundaries, i.e., it does not rely on the fixed threshold; 2) it can be applied to different video domains. We have tested the proposed method on two video domains: home videos and feature films, and accurate results have been obtained
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