Perception-driven resizing for dynamic image sequences
نویسندگان
چکیده
منابع مشابه
Perception-driven resizing for dynamic image sequences
With the development of multimedia display devices, dynamic image sequence resizing, which can adapt image sequences to be displayed on devices with different resolutions, is becoming more important. However, existing approaches do not resize results from the viewpoint of the user. In this paper, we present a new resizing framework, which uses the feature descriptor technique and the image inte...
متن کاملSimilarity criterion for image resizing
Based on bidirectional similarity measure between patches of image, in this study, we investigate the similarity criterion of image for resizing image. First, our scheme implements image resizing by Seam Carving step by step. For each step, we remove five seams, and then calculate the dissimilarity between the original image and its resized one as well as the relative difference of dissimilarit...
متن کاملLimiting human perception for image sequences
Early vision processes, based on Human Visual System (HVS) performance, provide insufficient information for modeling our assimilation of image sequences (e.g. video). The use of a visual attention paradigm for modeling viewer response over time is advanced here. An "importance map" of the scene can be constructed using both spatial and temporal information. The image quality of an individual f...
متن کاملHigh quality image resizing
An increasing amount of display devices with fixed sizes call for an adaptive strategy for optimal display. For this purpose, content aware image resizing techniques are developed. Previous works mainly lay their attention on the shrinkage operation of the examined image. Less efforts are paid on the expansion manipulation. Though some literatures claim an extension of their shrinkage operation...
متن کاملSmooth Image Sequences for Data-driven Morphing
Smoothness is a quality that feels aesthetic and pleasing to the human eye. We present an algorithm for finding “as-smoothas-possible” sequences in image collections. In contrast to previous work, our method does not assume that the images show a common 3D scene, but instead may depict different object instances with varying deformations, and significant variation in lighting, texture, and colo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Science and Information Systems
سال: 2013
ISSN: 1820-0214
DOI: 10.2298/csis120731051z