Projected Residual Vector Quantization for ANN Search

Study on image retrieval based on image texture and color statistical projection

“…The method not only can the redundant information of color filter in image, reflects the image texture description, and in the retrieval, small amount of calculation and speed soon, can also feature selection and weight according to the different needs. In future work, we will try to use the method introduced in this paper to solve the problems in some new and promising fields such as mobile visual search [12][13][14][15][16] and computer vision based 3D reconstruction [17]. …”

Mining community and inferring friendship in mobile social networks

“…Nowadays smartphone not only serves as the key communication and computing mobile terminate of choice, but it also equips with an abundant set of embedded sensors including a camera, microphone, accelerometer, gyroscope, digital compass, and GPS. Generally, these sensors promote new applications across a wide variety of fields, such as social networking services [1,2], transportation [3,4], user mobility [5,6], touring routes [7,8], and business sites selection [9,10]. The most popular of those applications is location-based services platform in the mobile social networks.…”

Parametric and nonparametric residual vector quantization optimizations for ANN search

“…To optimize search performance [16], some works use PCA projection to handle data's independence [6,32,34,35] and some other works focus on projecting data to balance variance for each component [17]. For example, [17] hypothesized the data components with balanced variances and optimized by a Householder transformation or random rotation on the data.…”