Titlebook: Recent Advances in Intelligent Image Search and Video Retrieval; Chengjun Liu Conference proceedings 2017 Springer International Publishin

不溶解

Novel Sparse Kernel Manifold Learner for Image Classification Applications,FV)feature is created by computing Fisher vectors on densely sampled DAISY features. Second, a WLD-SIFT Fisher vector (WS-FV) feature is developed by fusing the Weber local descriptors (WLD) with the SIFT descriptors, and the Fisher vectors are computed on the fused WLD-SIFT features. Third, an inno

聲明

A New Efficient SVM (eSVM) with Applications to Accurate and Efficient Eye Search in Images, in particular. Being an efficient and general learning and recognition method, the eSVM can be broadly applied to various tasks in intelligent image search and video retrieval. The eSVM first defines a . set that consists of the training samples on the wrong side of their margin derived from the co

公豬

SIFT Features in Multiple Color Spaces for Improved Image Classification,olor Grayscale SIFT Fusion (CGSF), and the CGSF+PHOG descriptors for image classification with special applications to image search and video retrieval. Classification is implemented using the EFM-NN classifier, which combines the Enhanced Fisher Model (EFM) and the Nearest Neighbor (NN) decision ru

發(fā)生

Clothing Analysis for Subject Identification and Retrieval,trics lose utility, whilst the majority of soft biometrics is still applicable. Amongst many of a person’s descriptive features, clothing stands out as a predominant characteristic of their appearance. Clothing attributes can be effortlessly observable and described conventionally by accepted labels