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Abstract During an archaeological survey in the municipality of San Pedro Mártir Quiechapa, Oaxaca, Mexico, archaeologists from the Proyecto Arqueológico de Quiechapa (PAQuie) encountered and documented a number of carved stone elements. Of particular interest are the 30 representations of ballcourts carved into natural rock outcrops at two sites in the region. This is the highest density in which this type of ballcourt representation occurs throughout Mesoamerica. After their initial discovery, members of PAQuie documented the carved stone ballcourts using structure-from-motion (SfM) photogrammetry, a quick and affordable technique to collect 3D spatial, quantitative, and visual data of stone carvings. In this article, I report on the carved stone ballcourt representations documented in the Quiechapa region and offer some preliminary interpretations. I first provide some description of the broader archaeological context in which the carvings were found. Then I describe the methods used to record the stone carvings, followed by a presentation of the data. Finally, in dialogue with extant literature, I explore some possibilities as to why these carved stone ballcourt representations were created, how they may have been used, and what they may symbolize.

The article introduces the semiotic, cognitive, and technical aspects of the most important trends in the modern written communication, which arise as a result of the competition between acoustic-auditory and manual-visual codes. The author believes that Russian education has to adapt to the contemporary trends in virtual communication, which requires a preliminary research. The problem is that the integral-systemic presentation of communicative content is developing as a result of the growing share of visual data in various types of communication. The school course of Russian is based on elementary strategies and cannot keep up with these changes. Video-clip unites give the visual-written perception much better holistic possibilities than those of the phono-auditory-written channel. The competition of these two forms of writing is unlikely to displace the weaker opposition member. Chances are that it will redistribute their functions based on the advantages of each form.

Abstract Today, people are in an information explosion society, and visualization technology(VT) is an inevitable product of the development of the information society. With the emergence of multimedia products such as computers, networks, and communications, humans are paying more and more attention to data processing. Many countries in the world have already begun research in this area and have achieved remarkable results. VT is a core part of data analysis, also known as information processing and storage technology. It has a very extensive and important application in the field of data management. However, because the key information hidden in the data is often immersed in the massive data, it is necessary to filter the data information efficiently, and the visualization data analysis technology is a crucial part. This article adopts the experimental analysis method, which aims to provide a new method to solve the problems of traditional technology and the challenges that may arise in the future by further understanding the existing visual data analysis technology and development trend. According to the research results, the recognition rate of the optimized color visualization features under different classifiers is higher than that of the original emotional features. It can be seen that visual analysis technology is not limited to data sets with physical meaning, but can also be applied to abstract feature sets such as emotional features.

AbstractSmart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is required to be in high quality for efficient analysis which is a challenging task while transmitting videos on low capacity bandwidth communication channels. In latest smart surveillance cameras, high quality of video transmission is maintained through various video encoding techniques such as high efficiency video coding. However, these video coding techniques still provide limited capabilities and the demand of high-quality based encoding for salient regions such as pedestrians, vehicles, cyclist/motorcyclist and road in video surveillance systems is still not met. This work is a contribution towards building an efficient salient region-based surveillance framework for smart cities. The proposed framework integrates a deep learning-based video surveillance technique that extracts salient regions from a video frame without information loss, and then encodes it in reduced size. We have applied this approach in diverse case studies environments of smart city to test the applicability of the framework. The successful result in terms of bitrate 56.92%, peak signal to noise ratio 5.35 bd and SR based segmentation accuracy of 92% and 96% for two different benchmark datasets is the outcome of proposed work. Consequently, the generation of less computational region-based video data makes it adaptable to improve surveillance solution in Smart Cities.

In this paper the author demonstrates the limits of audio description in the transfer of the humorous effects of a film comedy which constitute the “semantic dominant” of this kind of production. The analysis is illustrated by examples from Philippe de Chauveron’s film, À bras ouverts (2017). In this form of intersemiotic translation, the lack of certain visual data can block the possibility of understanding the comic by blind or visually impaired people. The author tries to propose some solutions to this problem in the form of creative audio description.

Purpose In response to calls for more research on gender(s) in digital contexts, this paper aims to ask, how do individuals engage in self-presentation of their gender identities on social media? Design/methodology/approach Using a multi-method qualitative approach, this research explores the narratives of 17 Millennials as they negotiate their online gender expressions with a particular focus on the image-based social platforms, Facebook and Instagram. Specifically, in-depth interviews, a collage technique and visual data from informants’ social media pages were analyzed to identify emergent themes. Findings Drawing on the theoretical work of Goffman’s (1971) self-presentation and Butler’s (1999) gender performance, this research highlights a pervading discourse of authenticity or the desire for Millennial social media users to craft and perform a perceived “authentic self” online. This often entails both expressions of gender fluidly and gender policing. Further, four strategies emerge in the data which reveal how individuals negotiate and navigate their gendered self-presentation online, either in an agentic manner or as a protective measure. Originality/value While much research exists on online self-presentation, gender(s) has been under-researched in a digital context. Existing studies examine the content of social media pages (e.g. Facebook profiles or women’s Instagram pages) as it relates to gender, but largely do not explore the lived experiences and narratives of individuals as they negotiate their gendered expressions. In addition, the use of visual data through the collage technique adds valuable insight into how gender is experienced and performed. Findings reveal that while Millennials are often touted as a gender-fluid generation, tensions still exist in online gendered expressions.