Learn More
The long term evolution of UMTS, UTRA LTE, can facilitate high user data rates using OFDMA combined with MIMO (multiple input multiple output) techniques. In this paper, we focus on the uplink virtual MIMO capacity and its pairing algorithms. In the uplink for LTE, the power and complexity for the terminal circuit design is critical, so LTE using a(More)
Local image feature description is a basic research in the field of computer vision and it is also a hotspot in the community. The paper depicts the development history of local feature description in decades. Then based on the strategy of feature pooling, it classifies feature description methods into three types: histogram based method, feature comparison(More)
Automatic movie summarization based on the visual-audio features is introduced. The importance evaluation model for video clips chooses face detection and atwitter shot detection as the basis. Against the difficult of movie's speech endpoint detection, speech endpoint detection based on subtitles of movie is introduced, which can help detect the captions'(More)
Automatic image scene detection is a crucial step for various tasks in computer vision. Current scene detection methods are often computationally expensive for use in real-time image classification. In this paper, a novel and efficient scene detection method based on local invariant features is presented. First, the SIFT feature detector and descriptor has(More)
BACKGROUND The capacity of electronic health record (EHR) data to guide targeted surveillance in chronic kidney disease (CKD) is unclear. We sought to leverage EHR data for predicting risk of progressing from CKD to end-stage renal disease (ESRD) to help inform surveillance of CKD among vulnerable patients from the healthcare safety-net. METHODS We(More)
J-aggregates of 2-hydroquinone-5,10,15,20-tetra(p-hydroxyphenyl)porphyrin (HQTHPP) induced by N-lauroyl sarcosine (SKL) in aqueous neutral solutions have been studied by optical absorption, fluorescence, and resonance light-scattering spectroscopies. As SKL concentration increases, the spectra evolve to reveal the presence of four independent species with(More)
Cartoon image annotation and retrieval is critical for cartoonists to effectively and efficiently make cartoons by reusing existing cartoon data. To successfully achieve these tasks, it is essential to build an abundant cartoon database first and then annotate and retrieve them efficiently. This paper studies and realizes a cartoon images annotation and(More)
The exponential growth of online videos imposes urgent demands on near-duplicate video detection. Near-duplicate keyframe detection is at the base of near-duplicate video detection. In this paper, based on the analysis of the state-of-the-art of near-duplicate keyframe detection, GrayScale Pyramid (GSP) is processed for improving the global feature of color(More)