Cross-browser compatibility testing aims at verifying that a web page is rendered as intended by its developers across multiple browsers and platforms. Browserbite is a tool for cross-browser testing based on comparison of screenshots with the aim of identifying differences that a user may perceive as incompatibilities. Browserbite is based on segmentation and image comparison techniques adapte...

objectives: nouns and verbs are the central conceptual linguistic units of language acquisition in all human languages. while the noun-bias hypothesis claims that nouns have a privilege in children’s lexical development across languages, studies on mandarin and korean and other languages have challenged this view. more recent cross-linguistic naming studies on children in german, turkish, engli...

0167-8655/$ see front matter 2008 Elsevier B.V. A doi:10.1016/j.patrec.2008.04.005 * Corresponding author. Address: Computer Visio bridge, United Kingdom. Fax: +44 1223 332662. E-mail address: [email protected] (G.J. Brost URL: http://mi.eng.cam.ac.uk/research/projects/Vid Visual object analysis researchers are increasingly experimenting with video, because it is expected that motion cues s...

Object detection and multi-class image segmentation are two closely related tasks that can be greatly improved when solved jointly by feeding information from one task to the other [10, 11]. However, current state-of-the-art models use a separate representation for each task making joint inference clumsy and leaving the classification of many parts of the scene ambiguous. In this work, we propo...

We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. At prediction time, the network generates scores for the presence of each object category in each default box and produces adjustments to the b...

Unlike conventional sensor systems such as Landsat-TM, Spot-MX or IRS-LISS, which acquire data in only a few spectral bands, the development of scanner systems that acquire data in many narrow-wavelength bands allows the use of almost continuous reflectance data in studies of the Earth’s surface. This not only produces laboratory-like reflectance spectra with absorption bands specific to object...

The ASTER sensor onboard NASA’s Earth observing satellite Terra is an optical remote sensor comprised of 14 spectral bands ranging from the visible to thermal infrared region. With its multispectral bands the sensor bears the potential to provide data for both a detailed land use classification of heterogeneously vegetated areas. This study evaluates the potential of ASTER data for land use cla...

Video object segmentation, aiming to segment the foreground objects given annotation of first frame, has been attracting increasing attentions. Many state-of-the-art approaches have achieved great performance by relying on online model updating or mask-propagation techniques. However, most models require high computational cost due fine-tuning during inference. Most based are faster but with re...

Occlusion culling and level-of-detail rendering have become two powerful tools for accelerating the handling of very large models in real-time visualization applications. We present a framework that combines both techniques to improve rendering times. Classical occlusion culling algorithms compute potentially visible sets (PVS), which are supersets of the sets of visible polygons. The novelty o...