Rare bird has long been considered an important in the field of airport security,biological conservation,environmental monitoring,and so on.With the development and popularization of IOT-based video surveillance,all d...Rare bird has long been considered an important in the field of airport security,biological conservation,environmental monitoring,and so on.With the development and popularization of IOT-based video surveillance,all day and weather unattended bird monitoring becomes possible.However,the current mainstream bird recognition methods are mostly based on deep learning.These will be appropriate for big data applications,but the training sample size for rare bird is usually very short.Therefore,this paper presents a new sparse recognition model via improved part detection and our previous dictionary learning.There are two achievements in our work:(1)after the part localization with selective search,the gist feature of all bird image parts will be fused as data description;(2)the fused gist feature needs to be learned through our proposed intraclass dictionary learning with regularized K-singular value decomposition.According to above two innovations,the rare bird sparse recognition will be implemented by solving one l1-norm optimization.In the experiment with Caltech-UCSD Birds-200-2011 dataset,results show the proposed method can have better recognition performance than other SR methods for rare bird task with small sample size.展开更多
In traditional secret sharing schemes,all shared images containing secret segments are needed to recover secret information.In this paper,a reversible data hiding scheme based on Shamir secret sharing is used.Secret i...In traditional secret sharing schemes,all shared images containing secret segments are needed to recover secret information.In this paper,a reversible data hiding scheme based on Shamir secret sharing is used.Secret information can be recovered even if only part of the encrypted sharing is owned.This method can reduce the vulnerability of traditional encryption sharing schemes to attack.Before uploading the secret information to the cloud server,embed the encrypted n segments of secret information into n different pictures.The receiver downloads t images from the cloud server(t<n),extracts the encrypted information using the watermark extraction algorithm,and obtains the original secret information after decryption through Shamir secret sharing.展开更多
文摘Rare bird has long been considered an important in the field of airport security,biological conservation,environmental monitoring,and so on.With the development and popularization of IOT-based video surveillance,all day and weather unattended bird monitoring becomes possible.However,the current mainstream bird recognition methods are mostly based on deep learning.These will be appropriate for big data applications,but the training sample size for rare bird is usually very short.Therefore,this paper presents a new sparse recognition model via improved part detection and our previous dictionary learning.There are two achievements in our work:(1)after the part localization with selective search,the gist feature of all bird image parts will be fused as data description;(2)the fused gist feature needs to be learned through our proposed intraclass dictionary learning with regularized K-singular value decomposition.According to above two innovations,the rare bird sparse recognition will be implemented by solving one l1-norm optimization.In the experiment with Caltech-UCSD Birds-200-2011 dataset,results show the proposed method can have better recognition performance than other SR methods for rare bird task with small sample size.
文摘In traditional secret sharing schemes,all shared images containing secret segments are needed to recover secret information.In this paper,a reversible data hiding scheme based on Shamir secret sharing is used.Secret information can be recovered even if only part of the encrypted sharing is owned.This method can reduce the vulnerability of traditional encryption sharing schemes to attack.Before uploading the secret information to the cloud server,embed the encrypted n segments of secret information into n different pictures.The receiver downloads t images from the cloud server(t<n),extracts the encrypted information using the watermark extraction algorithm,and obtains the original secret information after decryption through Shamir secret sharing.
