We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint

the features of these algorithms are that they don't need to buffer the input, they are real time algorithms (for constant size patterns), and they are suitable to be implemented in hardware. 1 Introduction String searching is a very important component of many problems, including text editing

One approach to the generation of natural-sounding syn-thesized speech waveforms is to select and concatenate units from a large speech database. Units (in the current work, phonemes) are selected to produce a natural realisation of a target phoneme sequence predicted from text which is annotated

performance on a 150 MHz Alpha equipped with 15 disks running a range of applications including text search, 3D scientific visualization, relational database queries, speech recognition, and computational chemistry. Informed prefetching reduces the execution time of the first four of these applications by 20

from syntactic structure and a simple dynamic model of attentional state. Like the parser, the algorithm is implemented in Prolog. The authors have tested it extensively on computer manual texts, and conducted a blind test on manual text containing 360 pronoun occurrences. The algorithm successfully

Pattern matching is heavily used for searching, filtering, and transforming text, but existing pattern languages offer few opportunities for reuse. Lightweight structure is a new approach that solves the reuse problem. Lightweight structure has three parts: a model of text structure as contiguous

Lightweight Morphology is a new approach to morphological analysis, creating morphological variants from sets of rules. The rules are intuitive to define and at the same time, offering expressiveness and control. We defined a grammar for Lightweight Morphology. We defined how to generate English

be obtained by using passage re- trieval strategies designed to retrieve text excerpts of varying size in response to statements of user inerest. New approaches are described in this study for imple- menting selective passage retrieval systems, and identifying text passages responsive to particular user needs

The goal of each search service is to yield the most relevant results on a given query. Traditional full-text search is not enough and many approaches to improve search rankings are adopted. In this paper we propose a method of combined search query scoring computation leveraging lightweight

Content-based full-text search is a challenging problem in Peer-toPeer (P2P) systems. Traditional approaches have either been centralized or use flooding to ensure accuracy of the results returned. In this paper, we present pSearch, a decentralized non-flooding P2P information retrieval system. pSearch