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Jia Li

Researcher at Pennsylvania State University

Publications -  344
Citations -  30683

Jia Li is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Image retrieval & Image segmentation. The author has an hindex of 59, co-authored 299 publications receiving 29141 citations. Previous affiliations of Jia Li include ShanghaiTech University & Fox Chase Cancer Center.

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Journal ArticleDOI

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston, +222 more
- 05 Dec 2002 - 
TL;DR: The results of an international collaboration to produce a high-quality draft sequence of the mouse genome are reported and an initial comparative analysis of the Mouse and human genomes is presented, describing some of the insights that can be gleaned from the two sequences.
Journal ArticleDOI

Image retrieval: Ideas, influences, and trends of the new age

TL;DR: Almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation are surveyed, and the spawning of related subfields are discussed, to discuss the adaptation of existing image retrieval techniques to build systems that can be useful in the real world.
Journal ArticleDOI

SIMPLIcity: semantics-sensitive integrated matching for picture libraries

TL;DR: SIMPLIcity (semantics-sensitive integrated matching for picture libraries), an image retrieval system, which uses semantics classification methods, a wavelet-based approach for feature extraction, and integrated region matching based upon image segmentation to improve retrieval.
Book ChapterDOI

SIMPLIcity: Semantics-sensitive Integrated Matching for Picture Libraries

TL;DR: The SIMPLIcity system represents an image by a set of regions, roughly corresponding to objects, which are characterized by color, texture, shape, and location, which classifies images into categories intended to distinguish semantically meaningful differences.
Journal ArticleDOI

Automatic Linguistic Indexing of Pictures by a statistical modeling approach

TL;DR: This paper implemented and tested the ALIP (Automatic Linguistic Indexing of Pictures) system on a photographic image database of 600 different concepts, each with about 40 training images and demonstrated the good accuracy of the system and its high potential in linguistic indexing of photographic images.