Titlebook: Visual Content Indexing and Retrieval with Psycho-Visual Models; Jenny Benois-Pineau,Patrick Le Callet Book 2017 Springer International Pu

致敬

顯赫的人

Visual Saliency for the Visualization of Digital Paintings, digital painting. In order to help preserve cultural heritage, this chapter proposes several applications for digital paintings such as restoration, authentication, style analysis and visualization. For the visualization of digital paintings we present specific methods to visualize digital painting

積云

Predicting Interestingness of Visual Content,nformation retrieval and recommendation, especially in the context of the ever growing market value of social media and advertising. In this chapter we introduce a benchmarking framework (dataset and evaluation tools) designed specifically for assessing the performance of media interestingness predi

RENAL

Book 2017ics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Human Visual System and the classical and most recent models in visual content indexing and retrieval...The large spectrum of visual tasks, such as recog

跟隨

Mundane

instill

心胸狹窄

NEXUS

Image Retrieval Based on Query by Saliency Content,respond to its semantic meaning, whilst discarding irrelevant information. This chapter explores the construction of a retrieval system incorporating a visual attention model and proposes a new method for selecting salient image regions, as well as embedding an improved representation for salient image edges for determining global image saliency.

ironic