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The adaptive keyword spotting interaction (AKSI) paradigm presented in this paper is an algorithm for speech command selection in multimodal applications. An architecture implementing AKSI algorithm within IP multimedia subsystem (IMS) services design framework is proposed. This architecture uses a SIP/speech proxy
This paper presents an objective keyword selection method called visualness with Lesk disambiguation (VLD) for describing educational videos with semantic tags. It extends the work on automatically extracting and associating meaningful keywords carried out in ‘semantic tags for lecture videos’ for
present an interactive media player that enables the user to perform audio content based searching capabilities within a multimedia file. The media player built accepts text based keyword and searches for the utterance of the entered keyword in the audio stream of the multimedia file. Markers on all successive searches are
We developed a prototype system to support telecommunications that uses keywords selected by the presenter in videoconference. The presenter holds to show keyword cards, and the listeners at remote sites can see additional information with the keywords. Although keyword captions are considered effective in video
keywords from the Web pages. The system first identifies the section of the Web page that contains the multimedia file to be extracted and then extracts it by using clustering techniques and other tools of statistical origin. Experimental results on real-world image sharing Web sites are presented and discussed in this paper
The traditional layout of news websites, the combination of classified hierarchical browsing, headline recommendation and keyword-based search, has been used for many years. The keyword-based search is considered to be the most powerful tool for news browsing and retrieval. Unfortunately, the keyword-based query
A critical component of today's commercial search engines is an advertisement platform. The current state-of-the-art of such platforms is primarily based on advanced keyword matching to determine the relevance of advertisements for users' queries. However, such keyword matching techniques suffer from missing user
Image retrieval is one of the hottest fields of computer vision and pattern recognition. In recent years, many researchers addressed the challenging problem of interpreting the semantics of images. This paper presented a novel approach based on relation net (concept and semantic keyword relation net) for high level
be easily extracted, building respective data banks. Keywords are the important terms, sometimes called, index terms that contain some kind of valuable information about the document. Automatic keyword extraction is the task to identify a small set of words, which can be designated as keywords for that document, and
We propose a Discovery approach to find web services composition flows sorted by similarity. The approach extracts information from BPEL files. When creating new web services composition, the discovery result can be reused directly or provide reference. We import the lexical semantic in matching keywords. By analysis
This paper describes experiments for audio clips comparison based on spoken context. The spoken content is obtained using automatic speech recognition. The social tags that are available for most of the audio clips are used as keywords. These keywords are mapped to the spoken transcription representing the audio clips
associated with an image. In our approach, we divide images into small tiles and create visual keywords using a high-dimensional clustering algorithm. These visual keywords act the same as text keywords. One of the challenges of this approach is to identify an appropriate size for visual keywords. In this paper, we report our
ability to include human perception in the query for retrieval because the query must be an image. In this paper a new image annotation technique and a keyword-based image retrieval system are presented, which map the low-level features of the Joint Composite Descriptor to the high-level features constituted by a set of
vector of the wood image. This keyblock distribution based wood image retrieval algorithm is similar to the keyword based text retrieval algorithm. In the text retrieval algorithm, keyword can be used to represent the content of the text. Similarly, the keyblock in our proposed algorithm can be used to represent the content
reinforcement which makes multiple keyword search possible. Lastly, reranked results are attained through exchanging the ranking scores among different features in a cyclic manner. Time-based reranking is based on the count of Time, View and Download, of an image. Time count is the time duration between opening and closing of an
Soccer highlight detection is an active research topic in recent years. In this paper, we present our effort to detect an important audio keyword - excited commentator speech, which contributes to a state-of-the-art soccer highlight extraction system. We propose an approach of using statistical classifier based on
extraction, text normalization, keyword extraction, shot boundary detection, face detection and recognition, and near duplicate keyframe detection. These processing components detect a rich set of metadata information, which is collected by the video monitoring server. On a web interface, users can tune to different digital TV
system. The retrieval system is able to retrieve videos based on emotional keyword query as well as arousal and valence query. The user's personal profile (gender, age, cultural background) was employed to improve the collaborative filtering in retrieval.
Content-based image retrieval (CBIR) has been adopted as a complementary technique to the keyword-based image search. Relevance feedback (RFB) is considered as an effective means to bridge the gap between the designated features and the run-time semantics on a CBIR system. Like many other interactive system, a good
features of objects in sample images. A user places a keyword-based query first and then retrieves desired images by visual content-based query. A prototype MIQR system was implemented and is available at http://140.113.216.66/WebImageSearch for online demo, and public evaluation. We also conducted experiments over a
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