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V. S. Subrahmanian: "Multimedia Database systems", Morgan Kaufmann Publishers, San Francisco, 1998.

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Intelligent Indexing and Semantic Retrieval of Multimodal.. - Srihari, Zhang, Rao (1999)   (8 citations)  (Correct)

.... queries is discussed in [14] In focusing so much on for malisms, especially in the logic based approaches, researchers sometimes make unrealistic assumptions about the quality of information that can be automatically extracted (e.g. the detection of complex temporal events in video) [27] presents a query language, HM SQL, for re trieving hybrid, multimedia data. This new language, which is an extension of SQL, includes enhancements that support querying of multimedia entities. For example, a query to find all im agevideo objects containing Jane Shady wearing a purple suit and ....

V.S. Subrahmanian. Priciples o) e Multimedia Database Systems. Morgan Kaufmann, 1998.


Computationally Measurable Temporal Differences between Speech.. - Gerhard (2003)   (Correct)

....database such as the one discussed in [79] f 0 is an important feature for distinguishing between pieces of music, or for retrieving pieces of music based on the melody. The authors use the STFT with a peak extractor to identify the f 0 of the waveform. For more on multimedia databases, see [69] and [80] Speech word boundaries are detected using f 0 in [56] The idea here is that large variations in f 0 are unlikely to happen in the middle of a word. It is more likely they will happen at the end of the word. The authors discuss the utility of this method for examination of various ....

V.S. Subrahmanian. Multimedia Database Systems. Morgan Kaufmann Publishers, Inc., San Francisco, 1998.


Issues in Designing Contemporary Video Database Systems - Marques, Furht (1999)   (1 citation)  (Correct)

....of video segmentation, metadata representation, feature extraction, and video abstraction are explained below. The concept of visual summaries and possible ways of implementing them is discussed in Section 5. For more details on the design and implementation of multimedia database systems, see [4], 5] and [6] Video segmentation Video segmentation, also called video parsing, consists in partitioning video sequences (also called segments or stories) into scenes which can be further subdivided into individual shots, as illustrated in Figure 2. A shot can be defined as a continuous ....

S. Marcus and V.S. Subrahmanian, "Multimedia Database Systems", http://www.cs.umd.edu/ projects/hermes/publications/postscripts/mm1.ps.


Audio Signal Classification - Gerhard (2000)   (3 citations)  (Correct)

....In many of these systems, there is no differentiation made between pitch and f 0 , and although the difference is well understood and easily modeled, it is important to remember that many of these systems do not include perceptual models of pitch detection. For more on multimedia databases, see [Sub98] and [Yan95] f 0 is used to detect speech word boundaries in [RS96] The idea here is that large variations in f 0 are unlikely to happen in the middle of a word, more likely they will happen at the end of the word. The authors discuss the utility of the method on various Indian languages ....

V. S. Subrahmanian. Multimedia Database Systems. Morgan Kaufmann Publishers, Inc., San Francisco, 1998.


Reasoning About Qualitative Spatial Relationships - Sistla, Yu (2000)   (2 citations)  (Correct)

....set of spatial operators, and do not provide a complete rule based deductive system. For example, we employ the operators overlaps, inside, outside, which are not present in the earlier works mentioned above. On the other hand, some measure of distance was provided in these earlier works. In [MS93a, MS93b], a general formal framework for multimedia systems is presented. The model of pictorial databases that we use in this paper can be considered as a special case of media instances defined in their work. The above work provides a general framework for multimedia systems but does not give any ....

Marcus S., Subrahmanian V.S., Multimedia Database Systems, Technical Report, University of Maryland, 1993.


Proximal Nodes: A Model to Query Document Databases by.. - Navarro, Baeza-Yates (1997)   (35 citations)  (Correct)

....cost per processed element is, in most cases, constant. 8. EXTENDING THE MODEL TO MULTIMEDIA DOCUMENTS We study in this section how to extend the model to handle other types of data. We are interested in documents containing not only text, but also audio, images, video, etc. being queried [Subrahmanian and Jajodia 1996]. ProximalNodes: A Model to Query Document Databases by Contents and Structure Delta 25 operand size lazy 10000 1000 100 0.01 0.05 0.1 0.5 seconds 1.0 full Fig. 8. Typical times for a single operation query. Note that the scale is logarithmic in both axes. Multimedia documents have normally ....

Subrahmanian, M. and Jajodia, S. Eds. 1996. Multimedia Database Systems. SpringerVerlag.


Query Languages in Multimedia Database Systems - Li, Özsu, Szafron (1995)   (5 citations)  (Correct)

....about multimedia data. OMEGA has some facility for supporting three types of user language interfaces: an object oriented interface, an SQL like interface and a Graphic interface. Syntactically the query example expressed in OMEGA s SQL is very similar to Garlic s SQL. Marcus and Subrahmanian [MS93] have proposed a formal theoretical framework for characterizing multimedia information systems. It also provides a logical query language that integrates diverse media. This is a first attempt at mathematically characterizing multimedia database systems. The model is independent of any specific ....

....systems. Are there any general query languages for multimedia systems What are multimedia query languages in general, and how can they be formally defined so that they are independent of any specific applications As far as we know, the only work towards answering the above questions is the FBQL [MS93, MS95] work mentioned earlier. The media instance model introduced in [MS93] can capture all the media models. As for the query language, some constant symbols, variable symbols, and predicate symbols are defined. Also there is a function symbol flist, which stands for feature list, defined as a ....

[Article contains additional citation context not shown here]

S. Marcus and V. S. Subrahmanian. Multimedia database systems. Submitted for publication, 1993.


Foundations of Multimedia Information Systems - Marcus, Subrahmanian (1998)   (14 citations)  Self-citation (Marcus Subrahmanian)   (Correct)

.... 1 0065, by ARPA Rome Labs contract Nr. F30602 93 C 0241 (Order Nr. A716) and by an NSF Young Investigator award IRI 93 57756. 1 1 Introduction Though there has been a good deal of work in recent years on multimedia, there has been relatively little work on multimedia information systems. In [22], the authors have developed a theoretical framework for multimedia database systems. They show how, given a set of media sources, each of which contains information represented in a way that is (possibly) unique to that medium, it is possible to define general purpose access structures that ....

....single media instance, and those that are dependent upon a particular media instance. Thus, for instance, the property price(taurus,15k) is true and is independent of any single videoclip. In contrast, the feature color(taurus,blue) may depend upon a particular video clip. Marcus and Subrahmanian [22] develop a general scheme that, given a set of media sources, and a set of instances of those media sources, builds additional data structures on top of the physical representation of data in that medium. This physical representation allows for the definition of suitable query languages, and ....

[Article contains additional citation context not shown here]

S. Marcus and V.S. Subrahmanian. (1993) Multimedia Database Systems, submitted for publication.


Advanced Video Information System: Data Structures .. - Adali, Candan.. (1996)   (49 citations)  Self-citation (Subrahmanian)   (Correct)

....duration. In addition to the raw video data, there is a set, ENT, of entities objects that are of interest as given above within the domain of a given RVD. Last but not least, there is an association map, that specifies which objects occur in which video frames. Marcus and Subrahmanian [12] have, in a series of papers, specified how multimedia database systems may be formally modeled along the lines briefly outlined above. In order to formally specify the association map, we need some elementary definitions and assumptions: Assumption: We will assume that the set of frames, RVD, is ....

S. Marcus, V.S. Subrahmanian, Multimedia Database Systems, 1994. Submitted for publication.


Audio Indexing for Efficient Music Information Retrieval - Ioannis Karydis Alexandros   (Correct)

No context found.

V. S. Subrahmanian: "Multimedia Database systems", Morgan Kaufmann Publishers, San Francisco, 1998.


Audio Signal Classification: History and Current Techniques - Gerhard (2003)   (Correct)

No context found.

V. S. Subrahmanian. Multimedia Database Systems. Morgan Kaufmann Publishers, Inc., San Francisco, 1998.


Literature on MM IR - Fuhr (1998)   (Correct)

No context found.

Subrahmanian, V.; Jajodia, S. (eds.) (1996). Multimedia Database Systems. Issues and Research Directions. Springer, Berlin et al.


Multimedia Databases - Veeramani   (Correct)

No context found.

V.S. Subrahmanian and Sushil Jajodia. "Multimedia Database Systems"

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