2 resultados para Content Image Retrieval
em University of Connecticut - USA
Resumo:
Source materials like fine art, over-sized, fragile maps, and delicate artifacts have traditionally been digitally converted through the use of controlled lighting and high resolution scanners and camera backs. In addition the capture of items such as general and special collections bound monographs has recently grown both through consortial efforts like the Internet Archive's Open Content Alliance and locally at the individual institution level. These projects, in turn, have introduced increasingly higher resolution consumer-grade digital single lens reflex cameras or "DSLRs" as a significant part of the general cultural heritage digital conversion workflow. Central to the authors' discussion is the fact that both camera backs and DSLRs commonly share the ability to capture native raw file formats. Because these formats include such advantages as access to an image's raw mosaic sensor data within their architecture, many institutions choose raw for initial capture due to its high bit-level and unprocessed nature. However to date these same raw formats, so important to many at the point of capture, have yet to be considered "archival" within most published still imaging standards, if they are considered at all. Throughout many workflows raw files are deleted and thrown away after more traditionally "archival" uncompressed TIFF or JPEG 2000 files have been derived downstream from their raw source formats [1][2]. As a result, the authors examine the nature of raw anew and consider the basic questions, Should raw files be retained? What might their role be? Might they in fact form a new archival format space? Included in the discussion is a survey of assorted raw file types and their attributes. Also addressed are various sustainability issues as they pertain to archival formats with a special emphasis on both raw's positive and negative characteristics as they apply to archival practices. Current common archival workflows versus possible raw-based ones are investigated as well. These comparisons are noted in the context of each approach's differing levels of usable captured image data, various preservation virtues, and the divergent ideas of strictly fixed renditions versus the potential for improved renditions over time. Special attention is given to the DNG raw format through a detailed inspection of a number of its various structural components and the roles that they play in the format's latest specification. Finally an evaluation is drawn of both proprietary raw formats in general and DNG in particular as possible alternative archival formats for still imaging.
Resumo:
The current study investigates the relationship between individual differences in attachment style and the recall of autobiographical memories. According to attachment theory, affect regulation strategies employed by individuals high in attachment anxiety and high in attachment avoidance are likely to influence how information about the past is recalled. This study examines how attachment anxiety and attachment avoidance relate to the presence of negative emotions in autobiographical memories of upsetting events with important relationship figures (i.e., mother, father, or roommate). Participants included 248 undergraduate students ranging from ages 18-22 that attend a public university in the northeast. As hypothesized, individuals with an avoidant attachment expressed less sadness in their responses to the written narrative task, especially when prompted for memories involving their primary caregiver. Contrary to the hypothesis, anxiously attached individuals did not display higher levels of worry/fear emotions in their responses to the written narrative. Attachment anxiety was related to some differences in emotional content; however, this varied by relationship partner. The results provide evidence linking attachment style to emotion selection and retrieval in autobiographical memories of ‘upsetting’ events. Implications for close relationships and therapy are discussed.