MOSIR: Mobile-Based Segment and Image Retrieval

Nakagawa, Akihiko; Kutics, Andrea; Phyu, Khin Hninn

doi:10.1109/wicom.2011.6040612

Cited by 3 publications

(3 citation statements)

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“…Previous work in image retrieval over wireless networks is reported in [4][5][6][7][8][9]. A review on current advances in the field of CBIR is presented in [4].…”

Section: Related Workmentioning

confidence: 99%

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Content‐based image retrieval over IEEE 802.11b noisy wireless networks

Chatzistavros

Chatzichristofis

Zagoris

et al. 2014

Int J Communication

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SUMMARYMobile devices such as smartphones and tablets are widely used in everyday life to perform a variety of operations, such as e-mail exchange, connection to social media, bank/financial transactions, and so on. Moreover, because of the large growth of multimedia applications, video and image transferring and sharing via a wireless network is becoming increasingly popular. Several modern mobile applications perform information retrieval and image recognition. For example, Google Goggles is an image recognition application that is used for searches based on pictures taken by handheld devices. In most of the cases, image recognition procedure is an image retrieval procedure. The captured images or a low-level description of them are uploaded online, and the system recognizes their content by retrieving visually similar pictures. Taking into account the last comment, our goal in this paper is to evaluate the process of image retrieval/recognition over an Institute of Electrical and Electronics Engineers 802.11b network, operating at 2.4 GHz. Our evaluation is performed through a simulated network configuration, which consists of a number of mobile nodes communicating with an access point. Throughout our simulations, we examine the impact of several factors, such as the existence of a strong line of sight during the communication between wireless devices. Strong line of sight depends on the fading model used for the simulations and has an effect on BER. We have used a large number of image descriptors and a variety of scenarios, reported in the relative literature, in order to comprehensively evaluate our system. To reinforce our results, experiments were conducted on two well-known images databases by using 10 descriptors from the literature. Copyright

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“…Previous work in image retrieval over wireless networks is reported in [4][5][6][7][8][9]. A review on current advances in the field of CBIR is presented in [4].…”

Section: Related Workmentioning

confidence: 99%

“…Their goal is to examine which descriptor among the three is appropriate to be used in mobile search applications. A system to be used on mobile phones, named mobile‐based segment and image retrieval is presented in , by using edge‐based and color‐layout features to perform CBIR.…”

Section: Related Workmentioning

confidence: 99%

Content‐based image retrieval over IEEE 802.11b noisy wireless networks

Chatzistavros

Chatzichristofis

Zagoris

et al. 2014

Int J Communication

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show abstract

“…Their goal is to examine which descriptor among the three is appropriate to be used in mobile search applications. A system to be used on mobile phones, named Mobile-based Segment and Image Retrieval (MOSIR) is presented in [31], using edge-based and color-layout features to perform content-based image retrieval.…”

Section: Related Workmentioning

confidence: 99%

Routing protocols and quality of service evaluation in wireless ad hoc and sensor networks

Chatzistavros¹,

Χατζησταύρος²

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Τα επικοινωνιακά χαρακτηριστικά ενός ολοκληρωμένου συστήματος διαχείρισης για περιβαλλοντική παρακολούθηση, παρουσιάζονται σε αυτήν τη διατριβή. Η πλατφόρμα CYBERSENSORS αποτελείται από δύο διακριτά υποσυστήματα, ένα οπτικό και ένα σύστημα παρακολούθησης φυσικών και χημικών παραμέτρων, τα οποία λειτουργούν βάσει των προτύπων ΙΕΕΕ 802.11 και ΙΕΕΕ 802.15.4, αντίστοιχα. Ως προς το πρώτο, πραγματοποιείται συγκριτική ανάλυση της απόδοσης τριών διαφορετικών πρωτοκόλλων δρομολόγησης. Επιπλέον, παρουσιάζεται μια πρωτότυπη προσέγγιση ανάκτησης εικόνας σε περιβάλλον με θόρυβο. Οι κόμβοι του υποσυστήματος φυσικών/χημικών παραμέτρων σχηματίζουν ένα ΙΕΕΕ 802.15.4-συμβατό ασύρματο δίκτυο αισθητήρων. Εξετάζονται δύο διαφορετικές προσεγγίσεις υπολογισμού απόδοσης, για τοπολογίες αλυσίδας και αστέρα. Επιπλέον, παρουσιάζεται μια αναλυτική μέθοδος για τον υπολογισμού του δείκτη εκθετικής υποχώρησης, ο οποίος ορίζεται στο πρότυπο ΙΕΕΕ 802.15.4. Τα δεδομένα που συλλέγονται από τα δύο υποσυστήματα πρέπει να μεταφερθούν σε έναν απομακρυσμένο διακομιστή για περαιτέρω ανάλυση, μέσω μιας ευρυζωνικής σύνδεσης 3G. Στο τελευταίο κομμάτι της διατριβής, εξετάζονται οι απαιτήσεις της μετάδοσης και πραγματοποιείται μια εκτίμηση της χωρητικότητας uplink της σύνδεσης 3G.

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Content-based image retrieval using spatial-color and Gabor texture on a mobile device

2013

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Mobile image retrieval is one of the most exciting and fastest growing research fields in the area of multimedia technology. As the amount of digital contents continues to grow users are experiencing increasing difficulty in finding specific images in their image libraries. This paper proposes a new efficient and effective mobile image retrieval method that applies a weighted combination of color and texture utilizing spatial-color and second order statistics. The system for mobile image searches runs in real-time on an iPhone and can easily be used to find a specific image. To evaluate the performance of the new method, we assessed the Xcode simulations performance in terms of average precision and F-score using several image databases and compare the results with those obtained using existing methods such as MPEG-7. Experimental trials revealed that the proposed descriptor exhibited a significant improvement of over 13% in retrieval effectiveness, compared to the best of the other descriptors.

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MOSIR: Mobile-Based Segment and Image Retrieval

Cited by 3 publications

References 10 publications

Content‐based image retrieval over IEEE 802.11b noisy wireless networks

Content‐based image retrieval over IEEE 802.11b noisy wireless networks

Routing protocols and quality of service evaluation in wireless ad hoc and sensor networks

Content-based image retrieval using spatial-color and Gabor texture on a mobile device

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