Garment Image Retrieval on the Web with Ubiquitous Camera-Phone

He, Ruhan; Liu, Kaiming; Xiong, Naixue; Zhu, Yanhe

doi:10.1109/apscc.2008.109

Cited by 7 publications

(4 citation statements)

References 12 publications

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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%

“…A photo taken from the mobile device, the client, is transmitted to a server which performs CBIR from a database and then sends the query results back to the client over a wireless network connection. A more specialized application is developed in , where authors propose a scheme of performing garment image retrieval on the Web over a wireless network. A similar work is performed in , where the authors present a client–server system using the compressed histogram of gradients descriptor to perform image retrieval using a 3G network, also proposing a method of reducing overall latency of the system.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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%

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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“…Most of them serve as local image applications for finding locally stored images on the mobile phone itself [4]. A few available web-based systems [5] include a system to search buildings and pictures of art galleries [6]. Local application systems [7] usually employ J2ME API, whereas web-based systems mainly use web-application development APIs and depict the results as HTML or XHTML documents.…”

Section: Introductionmentioning

confidence: 99%

MOSIR: Mobile-Based Segment and Image Retrieval

Nakagawa

Kutics

Phyu

2011

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing

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This paper proposes a content-based image retrieval system for mobile phones, named MOSIR. The system facilitates instantaneous search on mobile phones for images similar to photos taken via phone cameras. Edge-based and color-layout features are used to find similar images. The system also enables region-based queries by detecting salient regions and extracting their features. To overcome security problems, the system applies both self-defined email and web application software. The system overcomes limitation of display panels and control key in common mobile phones by using Flash-Lite as a new user interface approach to view images of different sizes and contexts. The system was tested with 2,250 images, and results were satisfying. Therefore, MOSIR is a promising system to perform instant image search on mobile phones. Currently, it is targeted for common mobile phones. Eventually, MOSIR is aimed to support smart phones and retrieval of semantically related information to resulted images.

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“…A photo taken from the mobile device, the client, is transmitted to a server which performs content-based image retrieval from a database and then sends the query results back to the client over a wireless network connection. A more specialized application is developed in [28], where authors propose a scheme of performing garment image retrieval on the WEB over a wireless network. A similar work is performed in [29], where the authors present a client-server system using the Compressed Histogram of Gradients (CHoG) descriptor to perform image retrieval using a 3G network, also proposing a method of reducing overall latency of the system.…”

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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Garment Image Retrieval on the Web with Ubiquitous Camera-Phone

Cited by 7 publications

References 12 publications

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

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

MOSIR: Mobile-Based Segment and Image Retrieval

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

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