A Motif Index for Lost Mines and Treasures Applied to Redacti... by Byrd H Granger

Morrell, the Superintendent of Transportation for the Salt River Valley Water User's Association (1920-1928). These photographs were later presented to William J. Richardson during an excursion along the Apache Trail to the town of Roosevelt. 'The 25 photographs in this album were taken in 1905 by C.H. Small booklet bound with a string tie, unpaged (28 pages), 25 photographs. Part hiking guide, part history book, and part treasure hunter's source book, Exploring the Superstitions: Trails and Tales of the Southwest's Mystery Mountains vividly brings the supernatural beauty, mystery, and majesty of this unique area to life.' In fact, in the past century, the Superstition Mountains have claimed the lives of more than six hundred visitors, marking them as the West's deadliest wild area. While this range appears on the surface to be a veritable nature lover's paradise with towering saguaro cactus forests, desert wildflowers, and roadrunners, it is also home to rattlesnakes, plants and animals that stick, sting, or bite, and modern gun-toting drygulchers. The ancestral ground of the western Apache and sacred heights of the neighboring Pima, these mountains were once a veritable no-man's land of soaring cliffs, dead-end box canyons, and eerie hoodoos of stone, marking them as one of the last places on earth that any person would dare to tread. 'Arizona's Superstition Mountains are like no other mountain range in the continental United States. With the preferences and expectations of human observers.Exploring the Superstitions: Trails and Tales of the Southwest's Mystery Mountains. Remixed content that, when compared to similar approaches, more closely aligns The proposed motif mining approach is able to identify related This idea is formalized and a reference implementation is introduced.Įxperiments are conducted on three meme-style data sets, including a newlyĬollected set associated with the information war in the Russo-UkrainianĬonflict. Idea of Motif Mining - the process of finding and summarizing remixed imageĬontent in large collections of unlabeled and unsorted data. To analyze remixed content has been limited. Vision are composed of static content, the development of automated algorithms

However, because typical data sets in computer

Now an important topic of study for digital humanists, social scientists, and From digital art to memes, the evolution of images through time is With other content) on-the-fly and with a world-wide audience that can repeat Thanks to the availability of smartphones with cameras and easy-to-useĮditing software, images can be remixed (i.e., redacted, edited, and recombined Download a PDF of the paper titled Motif Mining: Finding and Summarizing Remixed Image Content, by William Theisen and 5 other authors Download PDF Abstract: On the internet, images are no longer static they have become dynamicĬontent.

A Motif Index for Lost Mines and Treasures Applied to Redacti... by Byrd H Granger