Neutron activation analysis has been used to characterize 60 metal objects from the Moche site, of which four are associated with the Chimú Period, two with the Early Chimú Period and the others with various Moche IV contexts. Different types of utilitarian and non‐utilitarian objects were analysed to identify the metals present, and to investigate their chemical composition and their eventual source. The results clearly indicate the distinction between Chimú and Moche artefacts and confirm the generalized opinion that arsenic bronze was popular after ad 900. They also indicate that gilding copper objects with gold was already a common practice during the Moche era.
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The discovery of the royal tombs at Sipán in 1987 propelled Moche archaeology to the forefront of Andean studies. In the last decade, the study of Moche political organization and ideology through public architecture, cultural remains, funerary patterns, and iconography has forced the revision of previous conceptions about Moche state formation, urbanism, and the functioning of this complex society. Major advances in iconography, internal organization of urban centers, temples and domestic architecture, craft production, and mortuary patterns are embedded in a new chronology that supports a longer development and a more gradual collapse. The recognition of Moche as the first state in South America is still valid, but its monolithic character is rejected in favor of several autonomous polities. The number and size of potential Moche states are currently debated, as is the role of warfare and ideology in Moche state formation.
This paper presents the status of a R&D project targeting the development of computer-vision tools to assist humans in generating and rendering video description for people with vision loss. Three principal issues are discussed: (1) production practices, (2) needs of people with vision loss, and (3) current system design, core technologies and implementation. The paper provides the main conclusions of consultations with producers of video description regarding their practices and with end-users regarding their needs, as well as an analysis of described productions that lead to propose a video description typology. The current status of a prototype software is also presented (audio-vision manager) that uses many computer-vision technologies (shot transition detection, key-frame identification, key-face recognition, key-text spotting, visual motion, gait/gesture characterization, keyplace identification, key-object spotting and image categorization) to automatically extract visual content, associate textual descriptions and add them to the audio track with a synthetic voice. A proof of concept is also briefly described for a first adaptive video description player which allows end users to select various levels of video description.
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