A modified moment-based image watermarking method robust to cropping attack

Developing a watermarking method that is robust to cropping attack is a challenging task in image watermarking. The moment-based watermarking schemes show good robustness to common signal processing attacks and some geometric attacks but are sensitive to cropping attack. In this paper, we modify the moment-based approach to deal with cropping attack. Firstly, we find the probability density function (pdf) of the pixel value distribution from the original image. Secondly, we reshape and normalize the pdf of the pixel value distribution (PPVD) to form a two dimensional image. Then, the moment invariants are calculated from the PPVD image. Since PPVD is insensitive to cropping, the proposed method is robust to cropping attack. Besides, it also has high robustness against other common attacks. Experimental results demonstrate the effectiveness of the proposed method.

Modified moment-based image watermarking method robust to cropping attack

Developing a watermarking method that is robust to cropping attack is a challenging task in image watermarking. The moment-based watermarking schemes show good robustness to common signal processing attacks and some geometric attacks but are sensitive to cropping attack. In this paper, we modify the moment-based approach to deal with cropping attack. Firstly, we find the probability density function (PDF) of the pixel value distribution from the original image. Secondly, we reshape and normalize the pdf of the pixel value distribution (PPVD) to form a two dimensional image. Then, the moment invariants are calculated from the PPVD image. Since PPVD is insensitive to cropping, the proposed method is robust to cropping attack. Besides, it also has high robustness against other common attacks. Theoretical analysis and experimental results demonstrate the effectiveness of the proposed method.

Integrating local one-class classifiers for image retrieval

In content-based image retrieval, learning from users’ feedback can be considered as an one-class classification problem. However, the OCIB method proposed in [1] suffers from the problem that it is only a one-mode method which cannot deal with multiple interest regions. In addition, it requires a pre-specified radius which is usually unavailable in real world applications. This paper overcomes these two problems by introducing ensemble learning into the OCIB method: by Bagging, we can construct a group of one-class classifiers which emphasize various parts of the data set; this is followed by a rank aggregating with which results from different parameter settings are incorporated into a single final ranking list. The experimental results show that the proposed I-OCIB method outperforms the OCIB for image retrieval applications.

Disastrous events and destination image

Many disastrous events worldwide have impacted on the image of tourist destinations. The subsequent downturn in tourism numbers and tourism spending has been directly blamed on those events. Arrival numbers and hotel occupancy rates have shown an immediate downturn following disastrous events in recent years. A comprehensive crisis management plan should incorporate guidelines to manage the return to the pre-disaster stage and re-positioning of the destination to re-establish its image.

The destination image models discussed in the literature, to date, have not included crisis management as one of the important considerations for a destination. This paper advocates changes to tourism destination image models that recognise the importance of crisis management and its subsequent impact on destination image. Tourism industry planners and marketers need to have access to reliable theoretical frameworks that incorporate all aspects of destination image to guide strategy formulation. The suggested improved model incorporating crisis management status - the preparedness for and the ability to deal with a disaster at any level - is more likely to provide this opportunity.

Local energy, the pre-envelope, and filter resolution

We examine the construction of new filters for computing local energy, and compare these filters with the Gabor filters and the three-point-filter of Venkatesh [l]. Further, we demonstrate that the effect of convolution with complex Gabor filters is to band-pass (with some differentiating effect) and compute the local energy of the result. The magnitude of the resulting local energy is then used to detect features [2], [3] (step features, texture etc.), and the phase is used to classify the detected features [l], [4] or provide disparity information for stereo [5] and motion work [6], [7]. Each of these types of information can be obtained at multiple resolutions, enabling the use of course to fine strategies for computing disparity, and allowing the discrimination of image textures on the basis of which parts of the Fourier domain they dominate [8], [9].

Monumental vision : a confrontation with the image of the Eternal Return

"Monumental Vision” is a nuanced summary of Nietzschean nihilism and the Eternal Return as rite of passage for free subjects and as condensed image of speculative intelligence proper. Utilizing Gerhard Richter’s “Sheet 692” from Atlas, a series of photographs of the mountains and lake at Sils Maria, Switzerland, as summary judgment of the limit imposed by this condition on all systems of representation, this form of vision discloses the chiasmus embedded in consciousness itself. In constantly revisiting Sils, the very location where Nietzsche “suffered” the vision of the Eternal Return, Richter has engaged repeatedly this origin for what has come into his work via Nietzsche – that is, an elective veil that refuses all compromises with transcendence until such is merged with immanence.

As situated amidst modernist “ideology as intellection”, and subsequent nascent forms of anti-modernism, the Eternal Return as image also signals the return of the Kantian “aesthetic-teleological” synthesis in non-discursive or purely visual agency. As an elective form of aesthetic vision, and as image of time insofar as it registers an overwhelming externality (Other) that nominally swallows and empowers the subject at once, this excoriating sense of universal praxis underwrites artistic and architectural production of the highest order, renegotiating concepts of the paradigmatic.

Utilizing Georg Simmel’s late work on Rembrandt (1916) and his encounter with Schopenhauer and Nietzsche (1907), the essay suggests that by the 1920s the avant-garde premises of modernism had already come under attack by an ahistorical and synoptic vision here denoted “monumental vision,” which also contains the imprint of eschatological time (invoking a schism present in rationality as such). The two readings of this image perpetrated by Karl Löwith in Nietzsche’s Philosophy of the Eternal Recurrence of the Same (Nietzsches Philosophie der ewigen Wiederkehr des Gleichen, 1935), or the cosmological and the ethical, while considered irreconcilable by Löwith, have since the 1960s been recalibrated through the figure of the event to pose possible scenarios out of the stalemate of the confrontation between Self and Other (ipseity and alterity) buried within this image as limit. In this manner, the image of the Eternal Return stands at the boundary between two forms of time (or two worlds) and signals the irreducible confrontation present in speculative thought and the necessity of closure through an aesthetic vision that produces a unitary field for all creative acts.

Notably, Nietzsche’s startling vision from Zarathustra suggests that the limit imposed by the Eternal Return is also a mask for an austere condition within subjectivity closely resembling the conundrum of Fichte’s I facing I, or thought turned toward thought itself (absolute subjectivity as cipher for Being). In Alenka Zupančič’s reading, in The Shortest Shadow: Nietzsche’s Philosophy of the Two (2003), the Eternal Return effectively contains a secret formal function that grinds all “error” to dust – a highly suggestive interpretation that also neutralizes the schism introduced by Löwith between the cosmological and the ethical.

What works in secondary schools? A systematic review of classroom-based body image programs

Governments, schools, and curriculum authorities are increasingly recognizing that body image during adolescence is a public health issue that warrants attention in the school setting. After 30 years of eating disorder prevention research, and given the current interest in this area, it seems timely to review the research on interventions to improve body image in schools. We reviewed universal-selective, classroom-based programs that have been conducted since the year 2000, among adolescents, and found 16 eligible intervention programs. Seven of these programs were effective in improving body image on at least one measure, from pre to post test, though effect sizes were small (d = 0.22–0.48). These effective programs were conducted among younger adolescents 12.33–13.62 years, and included activities focusing on media literacy, self esteem, and the influence of peers. Implications for school personnel and curriculum authorities are discussed, and we provide recommendations for a strategic approach to future research in this area.

Histogram shape-based robust image watermarking method

Developing a watermarking method that is robust to cropping attack and random bending attacks (RBAs) is a challenging task in image watermarking. In this paper, we propose a histogram-based image watermarking method to tackle with both cropping attack and RBAs. In this method first the gray levels are divided into groups. Secondly the groups for watermark embedding are selected according to the number of pixels in them, which makes this method fully based on the histogram shape of the original image and adaptive to different images. Then the watermark bits are embedded by modifying the histogram of the selected groups. Since histogram shape is insensitive to cropping and independent from pixel positions, the proposed method is robust to cropping attack and RBAs. Besides, it also has high robustness against other common attacks. Experimental results demonstrate the effectiveness of the proposed method. © 2014 IEEE.

Robust digital image watermarking

This research presents a novel rank based image watermarking method and improved moment based and histogram based image watermarking methods. A high-frequency component modification step is also proposed to compensate the side effect of commonly used Gaussian pre-filtering. The proposed methods outperform the latest image watermarking methods.

Robustness comparison of clustering - based vs. non-clustering multi-label classifications for image and video annotations

This paper reports robustness comparison of clustering-based multi-label classification methods versus nonclustering counterparts for multi-concept associated image and video annotations. In the experimental setting of this paper, we adopted six popular multi-label classification Algorithms, two different base classifiers for problem transformation based multilabel classifications, and three different clustering algorithms for pre-clustering of the training data. We conducted experimental evaluation on two multi-label benchmark datasets: scene image data and mediamill video data. We also employed two multi-label classification evaluation metrics, namely, micro F1-measure and Hamming-loss to present the predictive performance of the classifications. The results reveal that different base classifiers and clustering methods contribute differently to the performance of the multi-label classifications. Overall, the pre-clustering methods improve the effectiveness of multi-label classifications in certain experimental settings. This provides vital information to users when deciding which multi-label classification method to choose for multiple-concept associated image and video annotations.