Age discrimination among basalt flows using digitally enhanced LANDSAT imagery

Digitally enhanced LANDSAT MSS data were used to discriminate among basalt flows of historical to Tertiary age, at a test site in Northwestern Saudi Arabia. Spectral signatures compared favorably with a field-defined classification that permits discrimination among five groups of basalt flows on the basis of geomorphic criteria. Characteristics that contributed to age definition include: surface texture, weathering, color, drainage evolution, and khabrah development. The inherent gradation in the evolution of geomorphic parameters, however, makes visual extrapolation between areas subjective. Therefore, incorporation of spectrally-derived volcanic units into the mapping process should produce more quantitatively consistent age groupings

Nature and origin of secondary mineral coatings on volcanic rocks of the Black Mountain, Stonewall Mountain, and Kane Springs Wash volcanic centers, southern, Nevada

The following subject areas are covered: (1) genetic, spectral, and LANDSAT Thematic Mapper imagery relationship between desert varnish and tertiary volcanic host rocks, southern Nevada; (2) reconnaissance geologic mapping of the Kane Springs Wash Volcanic Center, Lincoln County, Nevada, using multispectral thermal infrared imagery; (3) interregional comparisons of desert varnish; and (4) airborne scanner (GERIS) imagery of the Kane Springs Wash Volcanic Center, Lincoln County, Nevada

Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings

Label ordering, the specification of subset–superset relationships for segmentation labels, has been of increasing interest in image segmentation as they allow for complex regions to be represented as a collection of simple parts. Recent advances in continuous max-flow segmentation have widely expanded the possible label orderings from binary background/foreground problems to extendable frameworks in which the label ordering can be specified. This article presents Directed Acyclic Graph Max-Flow image segmentation which is flexible enough to incorporate any label ordering without constraints. This framework uses augmented Lagrangian multipliers and primal–dual optimization to develop a highly parallelized solver implemented using GPGPU. This framework is validated on synthetic, natural, and medical images illustrating its general applicability

Grounding semantics in robots for Visual Question Answering

In this thesis I describe an operational implementation of an object detection and description system that incorporates in an end-to-end Visual Question Answering system and evaluated it on two visual question answering datasets for compositional language and elementary visual reasoning

Transnational film production and the tourist gaze : on Hou Hsiao-hsien’s Café Lumière and Flight of the red balloon

This article attempts to reexamine the multiple forms of displacement in and of the film to which the new historical era gave rise, and thereby critically engage with the questions of transnational capital flow, global tourism and spectatorship, and textual migration in the case of intertextuality

Body Phenomenology, Somaesthetics and Nietzschean Themes in Medieval Art

Richard Shusterman suggested that Maurice Merleau-Ponty neglected “‘lived somaesthetic reflection,’ that is, concrete but representational and reflective body consciousness.” While unsure about this assessment of Merleau-Ponty, lived somaesthetic reflection, or what the late Sam Mallin called “body phenomenology”—understood as a meditation on the body reflecting on both itself and the world—is my starting point. Another is John Dewey’s bodily theory of perception, augmented somewhat by Merleau-Ponty. With these starting points, I spent roughly 20 hours with St. Benedict Restores Life to a Young Monk (c. 1360), a work of tempera and gold leaf on panel, by Giovanni Del Biondo, active in Italy from 1356 to 1398, on display in the Art Gallery of Ontario’s permanent collection. Following Dewey’s suggestion that “[t]he eye ... is only the channel through which a total response takes place,” meaning that motor, emotional, intellectual and non-visual perceptual capacities become active when we encounter paintings, I describe how the work engaged a range of bodily modalities; and how reflecting on these, in turn, supplied phenomenal articulations of life negating, preserving and enhancing forces important in the culture that produced it, and famously discussed by Friedrich Nietzsche. By virtue of the approach adopted, I also demonstrate Dewey’s belief that intimate engagement with art entails a total coordination of one’s capacities around the artwork, while simultaneously reinforcing Merleau-Ponty’s ideas about perception and how we can find phenomenal articulations of concepts such as the Nietzschean ones just mentioned. While focusing on Del Biondo’s painting, my main purpose is to engage in body phenomenology practices, and to show, in the words of Shusterman, how “[w]e might sharpen our appreciation of art through more attention to our somaesthetic feelings involved in perceiving art” and indeed the world

Pixelated Semantic Colorization

While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semantic understanding. To address this shortcoming, we propose to exploit pixelated object semantics to guide image colorization. The rationale is that human beings perceive and distinguish colors based on the semantic categories of objects. Starting from an autoregressive model, we generate image color distributions, from which diverse colored results are sampled. We propose two ways to incorporate object semantics into the colorization model: through a pixelated semantic embedding and a pixelated semantic generator. Specifically, the proposed convolutional neural network includes two branches. One branch learns what the object is, while the other branch learns the object colors. The network jointly optimizes a color embedding loss, a semantic segmentation loss and a color generation loss, in an end-to-end fashion. Experiments on PASCAL VOC2012 and COCO-stuff reveal that our network, when trained with semantic segmentation labels, produces more realistic and finer results compared to the colorization state-of-the-art