Semantic Depth of Field
نویسندگان
چکیده
We present a new technique called Semantic Depth of Field (SDOF) as an alternative approach to focus-andcontext displays of information. We utilize a well-known method from photography and cinematography (depth-offield effect) for information visualization, which is to blur different parts of the depicted scene in dependence of their relevance. Independent of their spatial locations, objects of interest are depicted sharply in SDOF, whereas the context of the visualization is blurred. In this paper, we present a flexible model of SDOF which can be easily adopted to various types of applications. We discuss pros and cons of the new technique, give examples of application, and describe a fast prototype implementation of SDOF.
منابع مشابه
The Analysis of Semantic Field in Persian-Speaking Patients With Wernicke’s Aphasia
Objectives: Wernicke’s aphasia is one of the most prominent focal brain deficits affecting the comprehension abilities of patients while preserving their production abilities. Although a lot of studies in different languages have been conducted to analyze the nature of this deficit, still some controversies exist in this regard. While some research studies attribute this defect to a performance...
متن کاملInvestigating the mechanism of the void's physical-semantic effect on social interactions
The depth of the void concept has extended the range of its effects from philosophy to various sciences and even types of art. In architecture, due to the importance of the spacing effect and architectural components on behavior, void finds a different role that seems to be less addressed in contemporary architecture. If void, regardless of its hidden meaning, is referred to as "empty space," a...
متن کاملThe Symbiosis of Human and Semantic Technology Through the Lens of Actor-Network Theory
Background: Semantic technologies (STs) have made machine reasoning possible by providing intelligent data management methods. This capability has created new forms of interaction between humans and STs, which is called "semantic interaction." The increasing spread of this form of interaction in daily life reveals the need to identify the factors affecting it and introduce the requirements of...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملCS 229 Final Project: Single Image Depth Estimation From Predicted Semantic Labels
Recovering the 3D structure of a scene from a single image is a fundamental problem in computer vision that has applications in robotics, surveillance, and general scene understanding. However, estimating structure from raw image features is notoriously difficult since local appearance is insufficient to resolve depth ambiguities (e.g., sky and water regions in an image can have similar appeara...
متن کاملUseful Properties of Semantic Depth of Field for Better F+C Visualization
This paper presents the results of a thorough user study that was performed to assess some features and the general usefulness of Semantic Depth of Field (SDOF). Based on these results, concrete hints are given on how SDOF can be used for visualization. SDOF was found to be a very effective means for guiding the viewer’s attention and for giving him or her a quick overview of a data set. It can...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001