In this paper, we cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and propose an algorithm to analyz...
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
With the proliferation of online media services, video ads are pervasive across various platforms involving internet services and interactive TV services. Existing research effort...
Jinqiao Wang, Ling-Yu Duan, Bo Wang, Shi Chen, Yi ...
— This paper introduces a product quantization based approach for approximate nearest neighbor search. The idea is to decomposes the space into a Cartesian product of low dimensi...