Prefix coding of integers with real-valued predictions using cosets
- Authors: Ali, Mortuza , Murshed, Manzur
- Date: 2007
- Type: Text , Journal article
- Relation: IEEE Communications Letters, vol. 11, no. 10, IEEE Communications Society, p. 814-816
- Full Text: false
- Description: In predictive coding of integers real-valued residuals are mapped to integers before encoding, leaving room for improvement by reducing the loss due to rounding. In this paper, we propose a new prefix coding scheme where actual integer values, instead of the residuals, are encoded using cosets with real domain predictions as the side information. This novel coding scheme outperforms Golomb-based coding by reducing the rounding loss with similar computational and memory complexity.
A hybrid object detection technique from dynamic background using Gaussian mixture models
- Authors: Haque, Mohammad , Murshed, Manzur , Paul, Manoranjan
- Date: 2008
- Type: Text , Conference paper
- Relation: 2008 IEEE 10th Workshop on Multimedia Signal Processing p. 915-920
- Full Text: false
- Reviewed:
- Description: Adaptive background modelling based object detection techniques are widely used in machine vision applications for handling the challenges of real-world multimodal background. But they are constrained to specific environment due to relying on environment specific parameters, and their performances also fluctuate across different operating speeds. On the other side, basic background subtraction (BBS) is not suitable for real applications due to manual background initialization requirement and its inability to handle repetitive multimodal background. However, it shows better stability across different operating speeds and can better eliminate noise, shadow, and trailing effect than adaptive techniques as no model adaptability or environment related parameters are involved. In this paper, we propose a hybrid object detection technique for incorporating the strengths of both approaches. In our technique, Gaussian mixture models (GMM) is used for maintaining an adaptive background model and both probabilistic and basic subtraction decisions are utilized for calculating inexpensive neighbourhood statistics for guiding the final object detection decision. Experimental results with two benchmark datasets and comparative analysis with recent adaptive object detection technique show the strength of the proposed technique in eliminating noise, shadow, and trailing effect while maintaining better stability across variable operating speeds.
Dynamic texture synthesis using motion distribution statistics
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2008
- Type: Text , Journal article
- Relation: Journal of Research and Practice in Information Technology Vol. 40, no. 2 (2008), p. 129-148
- Full Text: false
- Reviewed:
- Description: n this paper we propose a motion based approach for synthesizing dynamic textures. Dynamic textures are natural phenomenon characterized by their distinctive motion patterns. Synthesis of these textures is thus considered as the regeneration of a motion pattern that has identical motion distribution of a source texture. In this paper we propose a synthesis technique where new textures are generated by computing their movement pattern from a known motion distribution followed by the generation of image frames. Experimental results demonstrate the ability of the proposed technique by producing visually promising dynamic textures.
Improved Gaussian mixtures for robust object detection by adaptive multi-background generation
- Authors: Haque, Mohammad , Murshed, Manzur , Paul, Manoranjan
- Date: 2008
- Type: Text , Conference paper
- Relation: 19th International Conference on Pattern Recognition p. 1-4
- Full Text: false
- Reviewed:
- Description: Adaptive Gaussian mixtures are widely used to model the dynamic background for real-time object detection. Recently the convergence speed of this approach is improved and a relatively robust statistical framework is proposed by Lee (PAMI, 2005). However, object quality still remains unacceptable due to poor Gaussian mixture quality, susceptibility to background/foreground data proportion, and inability to handle intrinsic background motion. This paper proposes an effective technique to eliminate these drawbacks by modifying the new model induction logic and using intensity difference thresholding to detect objects from one or more believe-to-be backgrounds. Experimental results on two benchmark datasets confirm that the object quality of the proposed technique is superior to that of Leepsilas technique at any model learning rate.
On stable dynamic background generation technique using Gaussian mixture models for robust object detection
- Authors: Haque, Mohammad , Murshed, Manzur , Paul, Manoranjan
- Date: 2008
- Type: Text , Conference paper
- Relation: 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance p. 41-48
- Full Text: false
- Reviewed:
- Description: Gaussian mixture models (GMM) is used to represent the dynamic background in a surveillance video to detect the moving objects automatically. All the existing GMM based techniques inherently use the proportion by which a pixel is going to observe the background in any operating environment. In this paper we first show that such a proportion not only varies widely across different scenarios but also forbids using very fast learning rate. We then propose a dynamic background generation technique in conjunction with basic background subtraction which detected moving objects with improved stability and superior detection quality on a wide range of operating environments in two sets of benchmark surveillance sequences.
Optimal arbitrary shaped pattern-based video coding
- Authors: Paul, Manoranjan , Murshed, Manzur
- Date: 2008
- Type: Text , Conference paper
- Relation: 2008 IEEE 10th Workshop on Multimedia Signal Processing p. 206-211
- Full Text: false
- Reviewed:
- Description: Very low bit-rate video coding algorithms using content-based generated patterns to segment out moving regions at macroblock level have exhibited good potential for improved coding efficiency when embedded into the H.264 standard as extra mode. This content-based pattern generation (CPG) algorithm provides local optimal result as only one pattern can be optimally generated from a given set of moving regions. But, it failed to provide optimal results for multiple patterns from entire sets. Obviously, a global optimal solution for clustering the set and then generation of multiple patterns enhances the performance farther. But a global optimal solution is not achievable due to the non-polynomial nature of the clustering problem. In this paper, we proposed a near optimal content-based pattern generation (OCPG) algorithm which outperforms the existing approach. Coupling OCPG, generating a set of patterns after clustering the macroblocks into several disjoint sets, with direct pattern selection algorithm by allowing all the macroblocks in multiple pattern modes outperforms the existing pattern-based coding while both embedded into the H.264.
Performance evaluation of multipath cellular networks in obstacle mobility model for downlink packet video communication
- Authors: Al Yusuf, Abdullah , Murshed, Manzur
- Date: 2008
- Type: Text , Conference paper
- Relation: 2008 IEEE 68th Vehicular Technology Conference p. 1-5
- Full Text: false
- Reviewed:
- Description: Obstacles present in the line of sight transmission path of a wireless signal severely attenuates the received signal power. Extreme fluctuations of the received signal power caused by shadowing can create "blind spots". Blind spots are areas within the cellular coverage area from where no communication is possible to the base station (BS). For single path packet based services link failures results in total loss of communication. The problem of link failure and blind spots can almost be eliminated in the recently proposed multipath cellular architecture (MCA) which provisions up to three different communication links from the mobile node (MN) to three adjacent BSs through overlapped coverage. Voice and/or multimedia packet delivery can thus benefit by establishing communication from the best interface in terms of received signal power. In this paper, we evaluate the performance of the multi-path MCA model in reducing link failure and blind spot communication problems in presence of multiple obstacles and shadow fading. Obstacle mobility model is utilized as the preferred user mobility model. Video transmission performance improves significantly in terms of reduced packet loss and improved reproduced signal quality at the receiver for the multipath MCA model compared to the existing single path cellular network architecture
Temporal texture characterization : A review
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2008
- Type: Text , Book chapter
- Relation: Computational Intelligence in Multimedia Processing: Recent Advances p. 291-316
- Full Text: false
- Reviewed:
- Description: Summary. A large class of objects commonly experienced in a real world scenario exhibits characteristic motion with certain form of regularities. Contemporary literature coined the term “temporal texture”1 to identify image sequences of such motion patterns that exhibit spatiotemporal regularity. The study of temporal textures dates back to the early nineties. Many researchers in the computer vision community have formulated techniques to analyse temporal textures. This chapter aims to provide a comprehensive literature survey of the existing temporal texture characterization technique
Threshold-free pattern-based low bit rate video coding
- Authors: Paul, Manoranjan , Murshed, Manzur
- Date: 2008
- Type: Text , Conference paper
- Relation: 2008 15th IEEE International Conference on Image Processing p. 1584-1587
- Full Text: false
- Reviewed:
- Description: Pattern-based video coding (PVC) has already established its superiority over recent video coding standard H.264, at low bit rate because of an extra pattern-mode to segment out the arbitrary shape of the moving region within the macroblock (MB). To determine the pattern-mode, the PVC however uses three thresholds to reduce the number of MBs coded using the pattern- mode. By setting these content-sensitive thresholds to any predefined values, the technique risks ignoring some MBs that would otherwise be selected by the rate-distortion optimization function for this mode. Consequently, the ultimate achievable performance is sacrificed to save motion estimation times. In this paper, a novel PVC scheme is proposed by removing all thresholds to determine this mode and hence more efficient performance is achieved without knowing the content of the video sequences. To keep computational complexity in check, pattern motion is approximated from the motion vector of the MB. In addition, efficient pattern similarity metric and new Lagrangian multipliers are also developed. The experimental results confirm that this new scheme improves the image quality by at least 0.5 dB and 1.0 dB compared to the existing PVC and the H.264 respectively
A motion-based approach for segmenting dynamic textures
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2009
- Type: Text , Journal article
- Relation: International Journal of Signal and Imaging Systems Engineering Vol. 2, no. (2009), p. 88-96
- Full Text: false
- Reviewed:
A novel pattern identification scheme using distributed video coding concepts
- Authors: Paul, Manoranjan , Murshed, Manzur
- Date: 2009
- Type: Text , Conference paper
- Relation: 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009) p. 729-732
- Full Text: false
- Reviewed:
- Description: Pattern-based video coding focusing on moving region in a macroblock has already established its superiority over recent H.264 video coding standard at very low bit rate. Obviously, a large number of pattern templates approximate the moving regions better however, after a certain limit no coding gain is observed due to the increase number of pattern identification bits. Recently, distributed video coding schemes used syndrome coding to predict the original information in decoder using side information. In this paper a novel pattern identification scheme is proposed which predicts the pattern from the syndrome codes and side information in decoder so that actual pattern identification number is not needed in the bitstream. The experimental results confirm that this new scheme successfully improves the rate-distortion performance compared to the existing pattern-based video coding as well as H.264 standard. This new scheme will also open another window of syndrome coding application.
Adaptive contention window based wireless medium access mechanism for periodic sensor data collection applications
- Authors: Haque, Ahsanul , Murshed, Manzur , Ali, Mortuza
- Date: 2009
- Type: Text , Conference paper
- Relation: Communications (MICC), 2009 IEEE 9th Malaysia International Conference
- Full Text: false
- Reviewed:
- Description: Contention window based medium access protocols are of practical interest in low data rate wireless communication scenarios. In periodic data collection applications, nodes mostly produce small data packets that are collected by the cluster heads and routed to the base station. In this paper, a new mechanism for adaptively selecting the size of the contention window based on the number of contending nodes has been presented. The proposed scheme effectively reduces the number of collisions in periodic collection scenarios with fixed number of nodes. Theoretical analysis and simulation results demonstrate that, in periodic data collection processes, the new protocol reduces the data collection time significantly as compared to IEEE 802.11 and the recently proposed Synchronized Shared Contention Window (SSCW) based scheme.
An adaptive borrow-and-return model for broadcasting videos
- Authors: Azad, Salahuddin , Murshed, Manzur
- Date: 2009
- Type: Text , Journal article
- Relation: IEEE Transactions on Multimedia Vol. 11, no. 4 (2009), p. 707-715
- Full Text: false
- Reviewed:
- Description: Yang proposed the concept of borrow-and-return (BR) to leverage the unused server bandwidth when a group of popular videos being broadcast with the FSFC (first segment on the first channel) broadcasting schemes in order to improve the mean waiting time (MWT) of the viewers with the help of additional receiving bandwidth available at the high-end clients. The BR model borrows the bandwidth of the videos with no new-coming viewers during a timeslot to speed up the transmission of the first segments of some of the remaining videos. In this paper, we first address the relative advantage issue among various possible BR schemes by developing a parametric generic BR (GBR) scheme controlled externally by independent borrow parameters. Later, we propose a new BR (NBR) model by incorporating an efficient transmission strategy to reduce the MWT further. Finally, an optimal NBR scheme is developed by augmenting with the optimal borrow parameters, which significantly outperforms the existing and new BR schemes in terms of overall MWT.
Detection of multiple dynamic textures using feature space mapping
- Authors: Rahman, Ashfaqur , Murshed, Manzur
- Date: 2009
- Type: Text , Journal article
- Relation: IEEE Transactions on Circuits and Systems for Video Technology Vol. 19, no. 5 (2009), p. 766-771
- Full Text: false
- Reviewed:
- Description: Abstract— Image sequences of smoke, fire, etc. are known as dynamic textures. Research is mostly limited to characterization of single dynamic textures. In this paper we address the problem of detecting the presence of multiple dynamic textures in an image sequence by establishing a correspondence between the feature space of dynamic textures and that of their mixture in an image sequence. Accuracy of our proposed technique is both analytically and empirically established with detection experiments yielding 92.5% average accuracy on a diverse set of dynamic texture mixtures in synthetically generated as well as real-world image sequences.
Pattern based video coding
- Authors: Paul, Manoranjan , Murshed, Manzur
- Date: 2009
- Type: Text , Book chapter
- Relation: Handbook of Research on Modern Systems Analysis and Design Technologies and Applications p. 469-483
- Full Text: false
- Reviewed:
A novel anonymization technique to trade off location privacy and data integrity in participatory sensing systems
- Authors: Murshed, Manzur , Sabrina, Tishna , Iqbal, Anindya , Alam, K.
- Date: 2010
- Type: Text , Conference paper
- Relation: 2010 Fourth International Conference on Network and System Security p. 345-350
- Full Text: false
- Reviewed:
- Description: Abstract—Preserving privacy in participatory sensing systems has recently gained research interest as voluntary contribution in such systems is not worthy if the privacy of the participants is not protected. On the other hand, data integrity is desired imperatively to make the service trustworthy and user-friendly. In this paper, we have proposed an adaptive location anonymization technique, which is capable of retaining an acceptable level of data integrity while keeping its vulnerability to eavesdropping adversaries low. Experimental results establish the proposed concept as a superior approach in balancing, somehow orthogonal, user privacy and data integrity.
A novel color image fusion QoS measure for multi-sensor night vision applications
- Authors: Anwaar, Ul-Haq , Gondal, Iqbal , Murshed, Manzur
- Date: 2010
- Type: Text , Conference proceedings
- Full Text: false
- Description: Color image fusion of visible and infra-red imagery can play an important role in multi-sensor night vision systems that are an integral part of modern warfare. Image fusion minimizes the amount of required bandwidth by transmitting the fused image rather than multiple sensor images. Color image fusion can be achieved by combining inputs from original colored sensors or by employing pseudo colorization and color transfer to grayscale images. Various quality measures have been proposed for multi-sensor grayscale image fusion techniques; but no appropriate quality measure has been devised for the quality evaluation of multi-sensor color image fusion. In this paper, we propose a novel color image fusion quality measure, Color Fusion Objective Index (CFOI) based on colorfulness, gradient similarity and mutual information techniques. Experimental results show the effectiveness of CFOI to evaluate the color and salient feature extraction introduced by color fusion techniques into the final fused imagery as well as its consistency with subjective evaluation.
Attack-resistant sensor localization under realistic wireless signal fading
- Authors: Iqbal, Anindya , Murshed, Manzur
- Date: 2010
- Type: Text , Conference paper
- Relation: 2010 IEEE Wireless Communications and Networking Conference p. 1-6
- Full Text: false
- Reviewed:
- Description: In a decentralized sensor network, localization process relies on the integrity of participating sensors. Existence of malicious beacon nodes in the vicinity of non-beacon nodes affects this process. This paper presents a trilateration-based secure localization technique, which is capable of estimating the location of a sensor with high accuracy so long four neighbouring beacon nodes are benign, irrespective of the number of neighbouring liars and without assuming any trust model. In realistic scenarios of wireless environment where transmitted signals attenuate randomly due to fading, the liar-tolerance level of this attack-resistant technique has to be relaxed accordingly. Superiority of this technique against the state-of-the-art has been established with extensive simulation results in terms of location estimation accuracy and liar-filtering probability.
Automated multi-sensor color video fusion for nighttime video surveillance
- Authors: Ul-Haq, Anwaar , Gondal, Iqbal , Murshed, Manzur
- Date: 2010
- Type: Text , Conference proceedings
- Full Text: false
- Description: In this paper, we present an automated color transfer based video fusion method to attain real-time color night vision capability for night-time video surveillance. We utilize simple RGB Color transfer technique to fused pseudo colored video frames without conversion to any uncorrelated color space. We investigated that final color fusion results greatly depend on the selection of target color Image. Therefore, rather than using any arbitrary target color image based on mere general visual anticipation, we have automated target color image selection using structural similarity and color saturation. We further apply color enhancement to improve final appearance of color fused images. Subjective and objective quality evaluations greatly indicate the effectiveness of our color video fusion method for nighttime video surveillance applications.
Efficient contention resolution in MAC protocol for periodic data collection in WSNs
- Authors: Haque, Ahsanul , Murshed, Manzur , Ali, Mortuza
- Date: 2010
- Type: Text , Conference paper
- Relation: Paper presented at 6th International Wireless Communications and Mobile Computing Conference
- Full Text: false
- Reviewed:
- Description: Due to the infrequent medium access in Wireless Sensor Networks (WSN), their MAC protocols are mostly based on CSMA. In this paper we present an efficient contention resolution scheme for CSMA based MAC protocols which is suitable for periodic data collection in WSNs. Taking into account that the number of nodes in a single cluster is fixed, this protocol uses successively decreasing contention window. It is characterized by non-overlapping contention window, that maintains a constant successful transmission rate. It significantly decreases data collection time by minimizing the time wastage due to collisions. At the same time, by using adaptive CW, it reduces the time wastage in empty slots. Experimental results demonstrate that in periodic data collection within a single hop cluster this scheme has performance superior to the recently proposed Synchronous Shared Contention Window (SSCW) based scheme in terms of time wastage and throughput.