• SUVANNABHUMI
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• v.15 no.2
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• pp.91-129
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• 2023

This paper reports the findings of a multimodal study conducted on 10 travel blog posts about Vietnam by seven British professional travel bloggers. The study takes a sociolinguistic view to tourism by seeing travel blogs as a source for linguistic and other semiotic materials while considering language as situated practice for the social construction of fundamental categories such as "human," "society," and "nation." It borrows concepts from Halliday's Systemic Functional Linguistics for interpersonal metafunction to develop an analytical framework to study how the co-occurrence of text and still images in these travel blog posts formulated the portrayal of Vietnam as a tourism destination and indicated the main sociolinguistic features of the blogs. The analysis of appreciation values and interactive qualities encoded in evaluative adjectives and still images show that Vietnam is generally portrayed as a country of identity and diversity. It provides tourists with positive experiences in terms of places of interest, food and local lifestyles and is cost-competitive. Strangerhood and authenticity are two outstanding sociolinguistic features exhibited in these travel blog posts. The findings of this study also underline the co-contribution of the linguistic sign, in this case evaluative adjectives, and the visual sign, in this case still images, as interpersonal meaning-making resources. To portray Vietnam, still images served as integral elements to evidence the credibility of verbal narrations. To unveil sociolinguistic characteristics of travel blogs, still images supported the linguistic realizations of authenticity and strangerhood on the posts, and in some case delivered an even stronger message than words. Not only does the study present a source of feedback from international travelers to tourism practice in Vietnam, but it also provides insights into multimodal analysis of tourism discourse which remains an under-researched area in Vietnam.

• Asia Marketing Journal
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• v.24 no.3
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• pp.96-108
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• 2022

This study investigates how affects elicited by visual images in print ads are integrated to form a liking for the ads. Assuming a sequential rather than simultaneous processing of still-cut images, we adopt the 'think-aloud' method to capture consumers' spontaneous responses to visual images. We hypothesize that not only would consumers show mixed affects toward a still-cut visual image but that they would also integrate their serial affects heuristically rather than simply averaging the affects as suggested by the compensatory hypothesis. By comparing the effects of two contradictory affect integration hypotheses (i.e., peak-affect and mood-maintenance) with compensatory integration, using a single regression model, we found that peak-negative along with mood maintenance integration of serial affects for a print ad works best in the formation of ad liking. The results also support our initial premise that people can have mixed valence even toward a still-cut ad.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.11
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• pp.93-101
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• 1992

HVS based transform coding techniques for still images take the lowest spatial frequency and luminance contrast sensitivity as the most crucial factors in determining the image quality perceived by human eye. Only the frequency weighting has been main issue. The proposed Weighted Discrete Cosine Transform (WDCT) has the lowest frequency of about 4 [cyc/deg] in 8$\times$8 subblock with the contrast-weighted DC coefficient. The error criteria have been rederived to adapt the contrast weighting for performance evaluation. The proposed scheme has produced higher quality images compared to the unweighted and other schemes.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.393-398
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• 2010

Composite and compact devices equipped with the functionality of digital still image acquisition, such as cellular phones and MP3 players are widely available to common users. In addition, the application of digital still images is becoming common among security and digital recording devices. The amount of still images, that are maintained or shared in personal storage or massive storage provided by various web services, are rapidly increasing. These still images are bound with file names or identifiers that are provided arbitrarily by users or that are generated from device specific naming method. However, those identifiers are vulnerable for unexpected changing or eliminating so that it becomes a problem in still image search or management. In this paper, we propose a method for still image identifier generation that is created from the still image internal information.

• Journal of the Semiconductor & Display Technology
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• v.16 no.1
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• pp.6-10
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• 2017

Recent enhancement in the still image acquisition devices has been widely perpetrated into the daily life of the common people. Due to this trend, the voluminous still images, that are produced and shared in the personal or the massive storage, need to controlled with effective and efficient management. The human-devised or system-generated still image identifiers used for the identification of the images are at risk in the situation of unexpected changing or eliminating of the identifiers. In this paper, we propose a parallel processing based method for still image identifier generation by utilizing the still image internal features.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.6
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• pp.462-467
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• 2002

A new approach for reducing the blocking artifact is proposed in this paper. This method can be applied to conventional transform coding, without introducing additional information or significant blurring. Main drawbacks of the Discrete Cosine Transform(DCT) are visible block boundaries due to coarse quantization of the coefficients. Therefore, restoration techniques result in unnecessary blurring of the image. The proposed deblocking algorithm is based on the heuristic approach for edge detection. All edges of the standard still images are categorized, and the best edges are selected. Several images are used fer experiments, and several other previous algorithms are compared with the proposed approach. The results show that the proposed algorithm works better than those of other previous researches. This algorithm can be used for JPEG, MPEG, and H.261 standard images.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.223-226
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• 2001

In this paper, we propose a robust and fragile watermarking technique for tamper proofing of still images. Robust watermarks are embedded by quantization with a robust quantization step-size, and it is imperceptible value for human visual system. Fragile watermarks are embedded by thresholding and quantization with EW(Embedded Zerotree Wavelet) algorithm. The proposed method enables us to distinguish malicious change from non-malicious change. Futhermore this technique enables us to find tampering regions and degrees.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.861-864
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• 2000

This paper aims to establish fundamentals of measuring and evaluating the performance of water-marking systems. We first present the general model of a watermarking method for still images. Based on this model, we propose a statistical method of measuring the performance and robustness of the watermarking system. Then, the DCT-based watermarking system is analyzed and its performance is evaluated by using the proposed method.

• Agribusiness and Information Management
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• v.7 no.1
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• pp.10-20
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• 2015

This study aims to compare and analyze the differences of emotional responses between two types of e-magazines published - one with cinemagraph images and another with general still images. To conduct this study, a total of nine pages were prepared with different contents according to each theme and samples of e-magazine with a total of nineteen sections of images were exposed to a total of thirty persons of subjects. Fifteen persons were assigned to the experimental group viewing the cinemagraph images, and other fifteen persons were assigned to the control group viewing the general still images. As a result of the experiment, the emotional responses of the experimental group and the control group were significantly different. Twenty-eight items of positive emotional responses out of forty-two items of the emotional responses were more found in the experimental group, and fourteen items of negative emotional responses affected the control group more. In the experimental group where the differences in the mean value and significant differences were found, negative emotional responses were not examined but fourteen positive emotional response items such as Loveliness, Merriness, Freshness, Activeness, Attractiveness, Powerfulness, Heartwarming, Joyfulness, Interesting, Confidence, Excitement, Cheerfulness, Humorousness, and Amazement were found; in the control group, positive emotional responses were not found but three items of negative emotional responses such as Ambiguousness, Stuffiness, and Boredom were found.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.12C
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• pp.1214-1221
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• 2005

In this paper, we propose a digital watermarking method for still images, in which the human visual system (HVS) is used in the discrete cosine transform (DCT) domain. The modulation transfer function (MTF) of the HVS model is employed to increase the invisibility of the inserted watermark in images. The proposed watermarking method is shown to be robust to several common image processing techniques, including lowpass filtering and cropping. Also, using the energy relationship of the DCT, we derive the equation that directly computes the watermark weighting factor in the DCT domain for the specified peak signal to noise ratio (PSNR) of the still image and the length of watermark to be inserted. The difference between desired PSNR and PSNR in spatial domain is within 0.07dB for the 7 test images.