Monthly Archives: January 2009

An Indonesian Knowledge-based Conversational Agent

Agen Percakapan Berbasis Pengetahuan Teks Berbahasa Indonesia Abstract Conversational agent is an intelligent agent utilizes natural language and computational linguistic techniques to engage user in human-like dialogue. In this research, we develop knowledge-based conversational agent which mined from free-text employs

Posted in Penelitian, Publications, Research

Indonesian-based Visual Storytelling Virtual Tour Around The World

VISUAL STORYTELLING KELILING DUNIA BERBASIS BAHASA INDONESIA Abstract In multimedia ages today, for some students to learn geography using conventional media, such as printed book, becomes less interesting. On the other hand, learning using adventure game media will give additional

Posted in Penelitian, Publications, Research

Information Retrieval for Generating Knowledge-Base from Indonesian Free Text

TEMU KEMBALI INFORMASI UNTUK PEMBANGKITAN BASIS PENGETAHUAN DARI TEKS BEBAS YANG DIGUNAKAN OLEH AGEN PERCAKAPAN BAHASA ALAMI Abstract Conversational agent is an intelligent agent which has an ability to respond with an intelligent way to user request. In natural language

Posted in Penelitian, Publications, Research

A Standard Performance Evaluation Tool for Video Object Extraction

Abstract – Nowadays, due to new demand of content based functionalities, many video object extraction techniques have been developed. However, only a few standard performance evaluation of video object extraction available, therefore to evaluate those techniques and comprehendingly compare our

Posted in Penelitian, Publications, Research

A Region-based Approach using LVQ for Semi-automatic Video Object Extraction Technique

Abstract – This paper presents a semi-automatic algorithm for video object extraction, which a semantic object of interest is defined in advance in a key frame provided by human. For ordinary video frames, the specified video object is tracked and

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An Improved Technique for LVQ-Based Video Object Extraction

Abstract This paper presents a semi-automatic algorithm for video object extraction, in which a semantic object of interest is defined in advance in a key frame provided by human. For ordinary video frames, the specified video object is tracked and

Posted in Penelitian, Publications, Research