A projection onto convex sets (POCS)-based annotation method for semantic image retrieval is presented in this paper. Utilizing database images previously annotated by keywords, the proposed method estimates unknown semantic features of a query image from its known visual features based on a POCS algorithm, which includes two novel approaches. First, the proposed method semantically assigns dat...

in this paper, a mechanized system for self-assessment based on process-oriented approach of iso 9004:2000 has been developed. to design of this mechanized system, the expert system has been used as in providing the assessment and scoring questions the experts’ knowledge, head auditors of quality management system, has been used and this knowledge has been saved in the access software database....

we tried to increase semantic in the visual stock information system. Firstly, the semantic entity-relation model was given after studying the contents in visual stock information system and the hierarchical classification was shown. Then, semantic metadata and visual ontology was designed. For the implementation of VSIS, ontology reuse was considered which included ontology reuse model, the re...

This paper describes the PetroGrapher system, an intelligent database application to support petrographic analysis and interpretation of oil reservoir rocks, and also data management using resources both from knowledge system technology and database technology. In this project, the visual tacit knowledge applied in petrographic analysis was made explicit through the collection of cases (rock de...

Extensive efforts have been devoted to recognizing facial action units (AUs). However, it is still challenging to recognize AUs from spontaneous facial displays especially when they are accompanied with speech. Different from all prior work that utilized visual observations for facial AU recognition, this paper presents a novel approach that recognizes speech-related AUs exclusively from audio ...

There is strong evidence that a fundamental requirement of the next generation of visual and experiential computing (VEC) applications will be the efficient analysis and manipulation of large repositories of visual data (images, videos, RGBD, point clouds, etc.). For example, highly publicized recent advances in image understanding [24] stem not only from improved deep-learning techniques, but ...

In this paper we report on the acquisition and content of a new database intended for developing audio-visual speech recognition systems. This database supports a speaker dependent continuous speech recognition task, based on a small vocabulary, and was captured in the European Portuguese language. Along with the collected multi-modal speech materials, the respective orthographic transcription ...

This paper addresses the computation procedures for estimating the impact of interference in 60 GHz IEEE 802.11ad uplink access in order to construct visual big-data database from randomly deployed surveillance camera sensing devices. The acquired large-scale massive visual information from surveillance camera devices will be used for organizing big-data database, i.e., this estimation is essen...

In most respects, there are implicit drawbacks concerning representation and interaction with data in relational-database applications. On the one hand, there is a lack of expressiveness and ease of use in the user interfaces that handle such data. On the other hand, there is an implicit need for interactive end-user visual tools to query data and avoid dependency on programming languages. The ...

In this paper we report on the acquisition and content of a new database intended for developing audio-visual speech recognition systems. This database supports a speaker dependent continuous speech recognition task, based on a small vocabulary, and was captured in the European Portuguese language. Along with the collected multi-modal speech materials, the respective orthographic transcription ...