{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T07:53:09Z","timestamp":1648885989876},"reference-count":7,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2012,4]]},"abstract":"<jats:p> Semantic scene understanding is one of the several significant goals of robotics. In this paper, we propose a framework that is able to construct geometric invariants for simultaneous object detection and segmentation using a simple pairwise interactive context term, for the sake of achieving a preliminary milestone of Semantic scene understanding. The context is incorporated as pairwise interactions between pixels, imposing a prior on the labeling. Our model formulates the multi-class image segmentation task as an energy minimization problem and finds a globally optimal solution using belief propagation and neural network. We experimentally evaluate the proposed method on three publicly available datasets: the MSRC-1, the CorelB datasets, and the PASCAL VOC database. Results show the applicability and efficacy of the proposed method to the multi-class segmentation problem. <\/jats:p>","DOI":"10.1142\/s021946781250012x","type":"journal-article","created":{"date-parts":[[2012,4,26]],"date-time":"2012-04-26T10:21:27Z","timestamp":1335435687000},"page":"1250012","source":"Crossref","is-referenced-by-count":1,"title":["GEOMETRIC INVARIANTS CONSTRUCTION FOR SEMANTIC SCENE UNDERSTANDING FROM MULTIPLE VIEWS INSPIRED BY THE HUMAN VISUAL SYSTEM"],"prefix":"10.1142","volume":"12","author":[{"given":"N.","family":"FAN","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, East China Normal University, 500 Dongchuan Rd, Minhang District, Shanghai 200241, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CHENG","family":"JIN","sequence":"additional","affiliation":[{"name":"China Mobile Group Zhejiang Co., Ltd., 898 Guangnan Rd. Jindong District, Jinhua, Zhejiang Province 321013, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,6,26]]},"reference":[{"key":"rf1","first-page":"888","volume":"22","author":"Shi J.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000022288.19776.77"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-7899-4"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0109-1"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023052124951"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0140-x"},{"key":"rf30","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80056-5"}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021946781250012X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:08:57Z","timestamp":1565132937000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021946781250012X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4]]},"references-count":7,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2012,6,26]]},"published-print":{"date-parts":[[2012,4]]}},"alternative-id":["10.1142\/S021946781250012X"],"URL":"https:\/\/doi.org\/10.1142\/s021946781250012x","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4]]}}}