![]() ![]() Video provides an image or audio to the audience. Ĭontent creators actively use video content to gain public empathy. An objective and scientific approach or evaluation method, which produces an advertisement video that is highly resonant to viewers, is required for the successful production of an advertisement video. Whether or not the viewer would empathize with the video content, such as video advertisements, and the judgment of this empathy depends on individual subjective evaluation. ![]() The video content needs to be considered by determining the required empathetic response of the viewer to the content of the video. These videos capture the interest of viewers and increase the purchasing power of products through this empathy. Advertisement videos provide information of products to viewers through various media such as the Internet, on the air, and cable. Therefore, it is important for video creators, such as advertising designers, to understand the relationship between the physical elements of audio and humans. In video content, audio sensitively affects human emotions, perceptions, and imagination, which can relieve tension or create the feeling of sadness. Considering an immersive environment as a socio-technical system, human and non-human elements could interact and could also establish strong relationships. Immersive environments can induce emotional changes capable of generating states of empathy. In order to compensate for its limitations, researchers also use objective methods to evaluate empathy. The subjective evaluation method usually uses a questionnaire but has limitations due to subjective ambiguity and individual differences. After that, the local point clouds were extracted, filtered, and stitched. In this system, a global calibration technique was deployed to correlate each individual system. In image processing, a four-camera vision system was established to sample a target from different perspectives. Empathy evaluation has many methods but can be mainly classified into three categories: subjective size evaluation, image processing, and bio-signals. That is, the feature value extracted by the method of spectrogram image features of audio has the most ability to arouse human empathy.Įmpathy, a phenomenon of characterizing our understanding and sharing of others’ feelings, is vital to our everyday communication and survival in a social environment. The contribution of this study can be summarized as follows: (1) the low-frequency and high-amplitude audio in the video is more likely to resonate than the high-frequency and high-amplitude audio (2) it is found that frequency and audio amplitude are important attributes for describing waveforms by observing the characteristics of the machine learning classifier (3) a new audio extraction method is proposed to induce human empathy. The result is that the optimal model is obtained with the training accuracy result of 99.173% and a test accuracy of 86.171%, which can be deemed as correct by comparing the three models of audio feature value analysis. The machine learning random forest classifier is used to classify the data obtained by machine learning, and the trained model is used to monitor the development of an advertisement empathy system in real time. In spectral analysis, the eigenvectors obtained in the analysis process range from blue (low range) to green (medium range) to red (high range). This paper combines both methods of the power spectrum of MFCC and image RGB analysis to find the audio feature vector. The purpose of this paper is to analyze the music features in an advertising video and extract the music features that make people empathize. Therefore, it is particularly important for people who make advertising videos to understand the relationship between the physical elements of music and empathy characteristics. The music in videos has a sensitive influence on human emotions, perception, and imaginations, which can make people feel relaxed or sad, and so on. Watching videos online has become part of a relaxed lifestyle. ![]()
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