ImageCLEF 2014 has a challenge based on analysis for identifying plants. This article describes o... more ImageCLEF 2014 has a challenge based on analysis for identifying plants. This article describes our first participation to the multiimage plant observation queries task of PlantCLEF 2014. The task will be evaluated as a plant species retrieval task based on multi-image plant observations queries. The goal is to retrieve the correct plant species among the top results of a ranked list of species returned by the evaluated system. In this paper, we present two method. Our first method is purely visual and entirely automatic, using only the image information. One should mention that the total time spent with preparing this submission was only about three week. The results were accordingly fairly poor. The challenge of our second method is to identify plant species based on combination of textual and structural context of image. Indeed, we have used the meta-data in our system for exploring the image characteristics. Our approach is based on a modern technique for exploitation of structure of XML document. Also, the results were accordingly fairly poor. Although our results are not quite promising as compared to other participant groups, they can still guide our work in this field for some conclusions reached.
Gesture Recognition System For Isolated Word Sign Language Based On key-Point Trajectory Matrix
This paper suggests a new system to help the deaf and the hearing-impaired community improve thei... more This paper suggests a new system to help the deaf and the hearing-impaired community improve their connection with the hearing world and communicate freely. The most important thing in this system is how to help the users be free and finally have a more natural way of communication. For this reason, we present a new process based on two levels: a static-level aiming to extract the most head/hands key points and a dynamic-level with the objective of accumulating the key-point trajectory matrix. Also our proposed approach takes into account the signer-independence constraint. A SIGNUM database is applied in the classification stage and our system performances have improved with a 94.3% recognition rate. Furthermore, a reduction in time processing is obtained when the removing of redundant frame step is applied. The obtained results prove the superiority of our system compared to the state-of-the-art methods in terms of recognition rate and execution time.
The expansion of structured information in different applications introduces a new ambiguity in m... more The expansion of structured information in different applications introduces a new ambiguity in multimedia retrieval in semi-structured documents. We investigate in this paper the combination of textual and structural context for multimedia retrieval in XML document thus we present a indexing model which combines textual and structural information. We propose a geometric method who use implicitly of textual and structural context of XML elements and we are particularly interested by improve the effectiveness of various structural factors for multimedia retrieval. Using a geometric metric, we can represent structural information in XML document with a vector for each element. Given a textual query, our model lets us combine scores obtained from each sources of evidence and return a list of relevant retrieved multimedia element. Experimental evaluation is carried out using the INEX Ad Hoc Task 2007 and the Image CLEF Wikipedia Retrieval Task 2010. The results show that combination of scores of textual modality and structural modality significantly improves compared results of using a single modality.
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