Comparative Performance Evaluation of Image Descriptors over IEEE 802.11b Noisy Wireless Networks

Chatzistavros, Evaggelos; Chatzichristos, Savvas A.; Stamatellos, Georgios; Zagoris, Kostantinos

doi:10.1109/mue.2011.34

Cited by 2 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the topography of an area, and/or the surrounding buildings in the case of an urban area, has an effect on signal quality, because of signal fading. As reported in , the aforementioned problems cause an increase in the BER of a specific wireless channel, thus affecting the quality of the transmitted information. In such a ‘hostile’ environment, it is vital for a user to be able to use an application without having to deal with inaccuracies or doubts about the outcome of the particular task.…”

Section: Introductionmentioning

confidence: 98%

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

Chatzistavros

Chatzichristofis

Zagoris

et al. 2014

Int J Communication

Self Cite

View full text Add to dashboard Cite

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

show abstract

Section: Introductionmentioning

confidence: 98%

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

Chatzistavros

Chatzichristofis

Zagoris

et al. 2014

Int J Communication

Self Cite

View full text Add to dashboard Cite

show abstract

“…Moreover, the topography of an area, and/or the surrounding buildings in the case of an urban area, have an eect on signal quality, due to signal fading. As reported in [23], the aforementioned problems cause an increase in the Bit Error Rate (BER) of a specic wireless channel, thus aecting the quality of the transmitted information. In such a "hostile" environment, it is vital for a user to be able to use an application without having to deal with inaccuracies or doubts about the outcome of the particular task.…”

Section: Introductionmentioning

confidence: 99%

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

Chatzistavros¹,

Χατζησταύρος²

View full text Add to dashboard Cite

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.

show abstract

Comparative Performance Evaluation of Image Descriptors over IEEE 802.11b Noisy Wireless Networks

Cited by 2 publications

References 14 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

Contact Info

Product

Resources

About