Object extraction scheme and protocol for energy efficient image communication over wireless sensor networks

Pham, Duc Minh; Aziz, Syed Mahfuzul

doi:10.1016/j.comnet.2013.07.001

Cited by 42 publications

(42 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For real-time 3D localization, image size of 320 Â 200 with the resolution of 640 Â 400 is adopted. Since PIXY requires only 20 ms to fulfil object detection, the proposed architecture is 2 times faster than that of [13] in terms of time consumption. The results on processing time and transmission data are summarized in Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…The proposed WMSN is compared with [13]. For real-time 3D localization, image size of 320 Â 200 with the resolution of 640 Â 400 is adopted.…”

Section: Resultsmentioning

confidence: 99%

“…The time intervals among the 2D coordinates obtained from multiple visual sensors need to be limited to a few milliseconds. It is not possible in [13], because it transmits compressed images in wireless communication. One sensor needs to exclude others in order to complete video transmission in a period of time.…”

Section: Distributed Computingmentioning

confidence: 99%

“…Owing to the limitation of wireless communication, the transmission of compressed images is troublesome and hard to receive real-time videos of multi-views synchronously [13]. In addition, privacy is a factor in a monitoring system, with no photographing.…”

Section: Introductionmentioning

confidence: 99%

“…First, the coarse synchronization at ms level makes sure the local time of all sensors is simultaneous [3]. Second, to minimize the size of the packet, it encapsulates the image coordinates of the detected objects in the key frames [4] instead of the compressed images [13]. Third, the coordinator can receive the packets transmitted from multi-views at different time stamps.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Collaborative Synchronization Mechanism in Wireless Multimedia Sensor Networks

Feng

Zhang

2017

Wireless Pers Commun

View full text Add to dashboard Cite

The synchronization problem of the wireless transmission in real-time visual surveillance applications was addressed. The distributed architecture of wireless multimedia sensor networks was adopted to obtain the key frames from multi-views synchronously, which has low computational cost and memory requirements. A good strategy for distributed computing was designed to assign tasks to specific smart devices. The main contribution of this architecture was a combination of wireless sensor networks and visual sensors. Image coordinates of detected objects are encapsulated in wireless data transmission. To track 3D localization in compute vision, the collaborative synchronization mechanism was presented to realize the synchronization of the key frames and asynchronization of the packet transmission from multi-views. The received data were divided into groups by the real-time clustering algorithm for 3D localization. Experimental results showed the proposed architecture can implement reliable and efficient indoor monitoring.

show abstract

Section: Resultsmentioning

confidence: 99%

“…The proposed WMSN is compared with [13]. For real-time 3D localization, image size of 320 Â 200 with the resolution of 640 Â 400 is adopted.…”

Section: Resultsmentioning

confidence: 99%

Section: Distributed Computingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Collaborative Synchronization Mechanism in Wireless Multimedia Sensor Networks

Feng

Zhang

2017

Wireless Pers Commun

View full text Add to dashboard Cite

show abstract

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

Sornalakshmi

Balamurali

Venkatesulu

et al. 2020

Neural Comput & Applic

View full text Add to dashboard Cite

Data mining may enable healthcare organizations, with analysis of the different prospects and connection between seemingly unrelated information, to anticipate trends in the patient's medical condition and behavior. Raw data are large and heterogeneous from healthcare organizations. It needs to be collected and arranged, and its integration enables medical information systems to be integrated in a united way. Health data mining offers unlimited possibilities to evaluate numerous less obvious or secret data models utilizing common techniques for study. Association rule mining (ARM) is an effective technique for detecting the connection of the data which are the most commonly used and influential algorithms in ARM for an Apriori algorithm. However, it generates a large amount of rules and does not guarantee the efficiency and value of the knowledge created. In order to overcome this issue, an enhanced Apriori algorithm (EAA) based on the knowledge of a context ontology (EAA-SMO) methodology for sequential minimal optimization (SMO) is suggested. The simple knowledge is to establish the ideas of ontology as a hierarchical structure of the conceptual clusters of specific subjects, which comprises ''similar'' concepts that mean an exact category of the knowledge within the domain. There is an interesting rule for each cluster based on the correlation between the items. In addition, the rule developed is classified as a prediction model for anomaly detection based on SMO regression. The experimental analysis demonstrates the proposed method improved 2% of accuracy and minimizes the execution time by 25% when compared to semantic ontology.

show abstract

Personalized and efficient social image transmission scheme in mobile wireless network

Zhuang

Jiang

et al. 2015

Multimed Tools Appl

View full text Add to dashboard Cite

This paper presents a Personalized large Social Image Transmission method in mobile wireless network(MWN) environment, called the PSIT. The whole transmission process of the PSIT works as follows: first, when a social image I S is prepared to transmit from a sender node to user U R , a preprocessing step is then conducted to obtain the optimal image fragment(IF) replica based on the users' preference model and the network bandwidth at the sender node. After that, the candidate IFs are transferred to the receiver node from the slave one according to the transmission priorities. Finally, the IFs can be recovered and displayed at the receiver node level. The proposed method includes five enabling techniques: 1) neighborhood-based tag enrichment processing, 2) user attention degree(UAD) derivation of the regions of interest(ROI), 3) an adaptive multi-resolution-based IF replica selection method, 4) a UAD-based IF replica placement method, and 5) a priority-based robust IF transmission scheme. The experimental results show that the performance of our approach is both efficient and effective, minimizing the response time by decreasing the network transmission cost while increasing the parallelism of I/O and CPU.

show abstract

Object extraction scheme and protocol for energy efficient image communication over wireless sensor networks

Cited by 42 publications

References 22 publications

Collaborative Synchronization Mechanism in Wireless Multimedia Sensor Networks

Collaborative Synchronization Mechanism in Wireless Multimedia Sensor Networks

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

Personalized and efficient social image transmission scheme in mobile wireless network

Contact Info

Product

Resources

About