DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification
| العنوان: | DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification |
|---|---|
| المؤلفون: | Ya Zhao, Yezhou Yang, Sihui Luo, Mingli Song |
| المصدر: | ICIP |
| بيانات النشر: | IEEE, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Semantic query, Information retrieval, Computer science, Semantic analysis (machine learning), Hash function, 02 engineering and technology, Representation (arts), 010501 environmental sciences, 01 natural sciences, Re identification, Meaning (philosophy of language), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 0105 earth and related environmental sciences |
| الوصف: | For large collections of gallery images captured by sparsely distributed cameras, we often employ hashing based approaches to enhance the efficiency of person re-identification (re-id). However, these hashing based approaches fail to provide semantically explainable encoding in solving the re-id problem, which makes it infeasible to identify the correct matches in the collection by just using a semantic query. To overcome this limitation, we propose a new deep hashing network called Deep Semantic Structured Hashing (DeepSSH) to obtain the semantic structured representation of human. In the proposed DeepSSH framework, both the mid-level human attributes and the high-level ID labels are used to learn a deep hashing network. Then, based on the obtained semantic structured hash code and the attribute labels, we learn a decoder to find the partial hash code corresponding to the specified attributes. Finally, a new grain scalable re-id framework is constructed to support semantic query of a person by providing partial or full semantic description of a person instead of the whole photo. Experimental results show that DeepSSH is comparable with state-of-the-art hashing-based person re-id approaches, and the experiment in semantic analysis shows that our hash code owns semantic meaning indeed. |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::70899307b35f134ef5bb2ed78a790149Test https://doi.org/10.1109/icip.2018.8451107Test |
| رقم الانضمام: | edsair.doi...........70899307b35f134ef5bb2ed78a790149 |
| قاعدة البيانات: | OpenAIRE |
| ResultId |
1 |
|---|---|
| Header |
edsair OpenAIRE edsair.doi...........70899307b35f134ef5bb2ed78a790149 829 3 unknown 829.477600097656 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........70899307b35f134ef5bb2ed78a790149&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
|
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Ya+Zhao%22">Ya Zhao</searchLink><br /><searchLink fieldCode="AR" term="%22Yezhou+Yang%22">Yezhou Yang</searchLink><br /><searchLink fieldCode="AR" term="%22Sihui+Luo%22">Sihui Luo</searchLink><br /><searchLink fieldCode="AR" term="%22Mingli+Song%22">Mingli Song</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => ICIP ) Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => IEEE, 2018. ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2018 ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Semantic+query%22">Semantic query</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+analysis+%28machine+learning%29%22">Semantic analysis (machine learning)</searchLink><br /><searchLink fieldCode="DE" term="%22Hash+function%22">Hash function</searchLink><br /><searchLink fieldCode="DE" term="%2202+engineering+and+technology%22">02 engineering and technology</searchLink><br /><searchLink fieldCode="DE" term="%22Representation+%28arts%29%22">Representation (arts)</searchLink><br /><searchLink fieldCode="DE" term="%22010501+environmental+sciences%22">010501 environmental sciences</searchLink><br /><searchLink fieldCode="DE" term="%2201+natural+sciences%22">01 natural sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Re+identification%22">Re identification</searchLink><br /><searchLink fieldCode="DE" term="%22Meaning+%28philosophy+of+language%29%22">Meaning (philosophy of language)</searchLink><br /><searchLink fieldCode="DE" term="%220202+electrical+engineering%2C+electronic+engineering%2C+information+engineering%22">0202 electrical engineering, electronic engineering, information engineering</searchLink><br /><searchLink fieldCode="DE" term="%22020201+artificial+intelligence+%26+image+processing%22">020201 artificial intelligence & image processing</searchLink><br /><searchLink fieldCode="DE" term="%220105+earth+and+related+environmental+sciences%22">0105 earth and related environmental sciences</searchLink> ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => For large collections of gallery images captured by sparsely distributed cameras, we often employ hashing based approaches to enhance the efficiency of person re-identification (re-id). However, these hashing based approaches fail to provide semantically explainable encoding in solving the re-id problem, which makes it infeasible to identify the correct matches in the collection by just using a semantic query. To overcome this limitation, we propose a new deep hashing network called Deep Semantic Structured Hashing (DeepSSH) to obtain the semantic structured representation of human. In the proposed DeepSSH framework, both the mid-level human attributes and the high-level ID labels are used to learn a deep hashing network. Then, based on the obtained semantic structured hash code and the attribute labels, we learn a decoder to find the partial hash code corresponding to the specified attributes. Finally, a new grain scalable re-id framework is constructed to support semantic query of a person by providing partial or full semantic description of a person instead of the whole photo. Experimental results show that DeepSSH is comparable with state-of-the-art hashing-based person re-id approaches, and the experiment in semantic analysis shows that our hash code owns semantic meaning indeed. ) Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="https://explore.openaire.eu/search/publication?articleId=doi_________::70899307b35f134ef5bb2ed78a790149" linkWindow="_blank">https://explore.openaire.eu/search/publication?articleId=doi_________::70899307b35f134ef5bb2ed78a790149</link><br /><link linkTarget="URL" linkTerm="https://doi.org/10.1109/icip.2018.8451107" linkWindow="_blank">https://doi.org/10.1109/icip.2018.8451107</link> ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsair.doi...........70899307b35f134ef5bb2ed78a790149 ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Languages] => Array
(
[0] => Array
(
[Text] => Undetermined
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => Semantic query
[Type] => general
)
[1] => Array
(
[SubjectFull] => Information retrieval
[Type] => general
)
[2] => Array
(
[SubjectFull] => Computer science
[Type] => general
)
[3] => Array
(
[SubjectFull] => Semantic analysis (machine learning)
[Type] => general
)
[4] => Array
(
[SubjectFull] => Hash function
[Type] => general
)
[5] => Array
(
[SubjectFull] => 02 engineering and technology
[Type] => general
)
[6] => Array
(
[SubjectFull] => Representation (arts)
[Type] => general
)
[7] => Array
(
[SubjectFull] => 010501 environmental sciences
[Type] => general
)
[8] => Array
(
[SubjectFull] => 01 natural sciences
[Type] => general
)
[9] => Array
(
[SubjectFull] => Re identification
[Type] => general
)
[10] => Array
(
[SubjectFull] => Meaning (philosophy of language)
[Type] => general
)
[11] => Array
(
[SubjectFull] => 0202 electrical engineering, electronic engineering, information engineering
[Type] => general
)
[12] => Array
(
[SubjectFull] => 020201 artificial intelligence & image processing
[Type] => general
)
[13] => Array
(
[SubjectFull] => 0105 earth and related environmental sciences
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Ya Zhao
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Yezhou Yang
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Sihui Luo
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Mingli Song
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 10
[Type] => published
[Y] => 2018
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-locals
[Value] => edsair
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => 2018 25th IEEE International Conference on Image Processing (ICIP)
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |